<\/h6>\r\nI want to take a minute to highlight one of the apps of Deep Learning Toolbox: Deep Network Designer<\/strong>.<\/span>\r\n<\/h6>\r\nThis app can be useful for more than just building a network from scratch, plus in 19a the app generates MATLAB code<\/em> to programatically create networks! I want to walk through a few common uses for this app (and perhaps some not-so-common uses as well!)<\/span>\r\n<\/h6>\r\n<\/td>\r\n![\"\"](\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2019\/04\/dnd_top_image-300x215.png\")
<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n1. Building a network from scratch<\/strong> <\/span>\r\n<\/h6>\r\nClearly this is one of the top benefits of Deep Network Designer, and there is a great introductory video on this topic. Click on the image to watch the short video.<\/span>\r\n<\/h6>\r\n![\"\"](\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2019\/04\/NetworkDesigner1_First_Frame-300x169.png\")
<\/a>\r\nLink to full video<\/a><\/span><\/h6>\r\n2. Importing a pretrained network and modifying it<\/strong><\/span>\r\n<\/h6>\r\nA second, popular use for the DND app is to import a pretrained network and modify it. Another great intro video is here:<\/span>\r\n<\/h6>\r\n![\"\"](\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2019\/04\/TransferLearningGIF-300x169.gif\")
<\/a><\/h6>\r\n \r\nLink to full video\u00a0<\/a><\/span><\/h6>\r\n<\/h6>\r\n3. Visualizing and describing network architectures<\/strong><\/span>\r\n<\/h6>\r\nRiddle me this: what type of network is this?<\/span>\r\nnet = googlenet;\r\nnet.Layers<\/pre>\r\n![\"\"](\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2019\/04\/googlenetlayers-1024x421.png\")
\r\n<\/h6>\r\nSeries? DAG?<\/span>\r\n\r\nHow about when I show you this portion of the network in the app?<\/span>\r\n<\/h6>\r\n![\"\"](\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2019\/04\/zoomedinDND-199x300.png\")
\r\n<\/h6>\r\nYou can quickly see this is definitely not<\/em> a series network.<\/span> (It's DAG!)\r\n<\/h6>\r\nThe app lets you quickly visualize what the network looks like, and see which connections are made. This can be helpful for a deeper understanding of the network, or simply getting a high level overview of the structure. <\/span>\r\n<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n![\"\"](\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2019\/04\/DND_analyze-button-300x195.png\")
<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n![\"\"](\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2019\/04\/alexnet_NA-300x194.png\")
<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n![\"\"](\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2019\/04\/leakyRelu-300x195.png\")
<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/h6>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n1. Building a network from scratch<\/strong> <\/span>\r\n<\/h6>\r\nClearly this is one of the top benefits of Deep Network Designer, and there is a great introductory video on this topic. Click on the image to watch the short video.<\/span>\r\n<\/h6>\r\n<\/a>\r\nLink to full video<\/a><\/span><\/h6>\r\n2. Importing a pretrained network and modifying it<\/strong><\/span>\r\n<\/h6>\r\nA second, popular use for the DND app is to import a pretrained network and modify it. Another great intro video is here:<\/span>\r\n<\/h6>\r\n<\/a><\/h6>\r\n \r\nLink to full video\u00a0<\/a><\/span><\/h6>\r\n<\/h6>\r\n3. Visualizing and describing network architectures<\/strong><\/span>\r\n<\/h6>\r\nRiddle me this: what type of network is this?<\/span>\r\nnet = googlenet;\r\nnet.Layers<\/pre>\r\n\r\n<\/h6>\r\nSeries? DAG?<\/span>\r\n\r\nHow about when I show you this portion of the network in the app?<\/span>\r\n<\/h6>\r\n\r\n<\/h6>\r\nYou can quickly see this is definitely not<\/em> a series network.<\/span> (It's DAG!)\r\n<\/h6>\r\nThe app lets you quickly visualize what the network looks like, and see which connections are made. This can be helpful for a deeper understanding of the network, or simply getting a high level overview of the structure. <\/span>\r\n<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n1. Building a network from scratch<\/strong> <\/span>\r\n<\/h6>\r\nClearly this is one of the top benefits of Deep Network Designer, and there is a great introductory video on this topic. Click on the image to watch the short video.<\/span>\r\n<\/h6>\r\n<\/a>\r\nLink to full video<\/a><\/span><\/h6>\r\n2. Importing a pretrained network and modifying it<\/strong><\/span>\r\n<\/h6>\r\nA second, popular use for the DND app is to import a pretrained network and modify it. Another great intro video is here:<\/span>\r\n<\/h6>\r\n<\/a><\/h6>\r\n \r\nLink to full video\u00a0<\/a><\/span><\/h6>\r\n<\/h6>\r\n3. Visualizing and describing network architectures<\/strong><\/span>\r\n<\/h6>\r\nRiddle me this: what type of network is this?<\/span>\r\nnet = googlenet;\r\nnet.Layers<\/pre>\r\n\r\n<\/h6>\r\nSeries? DAG?<\/span>\r\n\r\nHow about when I show you this portion of the network in the app?<\/span>\r\n<\/h6>\r\n\r\n<\/h6>\r\nYou can quickly see this is definitely not<\/em> a series network.<\/span> (It's DAG!)\r\n<\/h6>\r\nThe app lets you quickly visualize what the network looks like, and see which connections are made. This can be helpful for a deeper understanding of the network, or simply getting a high level overview of the structure. <\/span>\r\n<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/a>\r\nLink to full video<\/a><\/span><\/h6>\r\n2. Importing a pretrained network and modifying it<\/strong><\/span>\r\n<\/h6>\r\nA second, popular use for the DND app is to import a pretrained network and modify it. Another great intro video is here:<\/span>\r\n<\/h6>\r\n<\/a><\/h6>\r\n \r\nLink to full video\u00a0<\/a><\/span><\/h6>\r\n<\/h6>\r\n3. Visualizing and describing network architectures<\/strong><\/span>\r\n<\/h6>\r\nRiddle me this: what type of network is this?<\/span>\r\nnet = googlenet;\r\nnet.Layers<\/pre>\r\n\r\n<\/h6>\r\nSeries? DAG?<\/span>\r\n\r\nHow about when I show you this portion of the network in the app?<\/span>\r\n<\/h6>\r\n\r\n<\/h6>\r\nYou can quickly see this is definitely not<\/em> a series network.<\/span> (It's DAG!)\r\n<\/h6>\r\nThe app lets you quickly visualize what the network looks like, and see which connections are made. This can be helpful for a deeper understanding of the network, or simply getting a high level overview of the structure. <\/span>\r\n<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/h6>\r\n<\/a><\/h6>\r\n \r\nLink to full video\u00a0<\/a><\/span><\/h6>\r\n<\/h6>\r\n3. Visualizing and describing network architectures<\/strong><\/span>\r\n<\/h6>\r\nRiddle me this: what type of network is this?<\/span>\r\nnet = googlenet;\r\nnet.Layers<\/pre>\r\n\r\n<\/h6>\r\nSeries? DAG?<\/span>\r\n\r\nHow about when I show you this portion of the network in the app?<\/span>\r\n<\/h6>\r\n\r\n<\/h6>\r\nYou can quickly see this is definitely not<\/em> a series network.<\/span> (It's DAG!)\r\n<\/h6>\r\nThe app lets you quickly visualize what the network looks like, and see which connections are made. This can be helpful for a deeper understanding of the network, or simply getting a high level overview of the structure. <\/span>\r\n<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/a><\/h6>\r\n \r\nLink to full video\u00a0<\/a><\/span><\/h6>\r\n<\/h6>\r\n3. Visualizing and describing network architectures<\/strong><\/span>\r\n<\/h6>\r\nRiddle me this: what type of network is this?<\/span>\r\nnet = googlenet;\r\nnet.Layers<\/pre>\r\n\r\n<\/h6>\r\nSeries? DAG?<\/span>\r\n\r\nHow about when I show you this portion of the network in the app?<\/span>\r\n<\/h6>\r\n\r\n<\/h6>\r\nYou can quickly see this is definitely not<\/em> a series network.<\/span> (It's DAG!)\r\n<\/h6>\r\nThe app lets you quickly visualize what the network looks like, and see which connections are made. This can be helpful for a deeper understanding of the network, or simply getting a high level overview of the structure. <\/span>\r\n<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/h6>\r\nRiddle me this: what type of network is this?<\/span>\r\nnet = googlenet;\r\nnet.Layers<\/pre>\r\n\r\n<\/h6>\r\nSeries? DAG?<\/span>\r\n\r\nHow about when I show you this portion of the network in the app?<\/span>\r\n<\/h6>\r\n\r\n<\/h6>\r\nYou can quickly see this is definitely not<\/em> a series network.<\/span> (It's DAG!)\r\n<\/h6>\r\nThe app lets you quickly visualize what the network looks like, and see which connections are made. This can be helpful for a deeper understanding of the network, or simply getting a high level overview of the structure. <\/span>\r\n<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
\r\n<\/h6>\r\nSeries? DAG?<\/span>\r\n\r\nHow about when I show you this portion of the network in the app?<\/span>\r\n<\/h6>\r\n\r\n<\/h6>\r\nYou can quickly see this is definitely not<\/em> a series network.<\/span> (It's DAG!)\r\n<\/h6>\r\nThe app lets you quickly visualize what the network looks like, and see which connections are made. This can be helpful for a deeper understanding of the network, or simply getting a high level overview of the structure. <\/span>\r\n<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
\r\n<\/h6>\r\nYou can quickly see this is definitely not<\/em> a series network.<\/span> (It's DAG!)\r\n<\/h6>\r\nThe app lets you quickly visualize what the network looks like, and see which connections are made. This can be helpful for a deeper understanding of the network, or simply getting a high level overview of the structure. <\/span>\r\n<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/h6>\r\n4. What went wrong? <\/strong><\/span>\r\n<\/h6>\r\nThough not technically<\/em> the Deep Network Designer*, there is a button that launches the deep network analyzer<\/strong>. Occasionally, I will get a question such as, \"Why is my network erroring out?\" and I always start the investigation with the analyzer. This will check for problems before you start training which eliminates the not-so-attractive red error message in the command window.<\/span>\r\n\r\n<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/a>\r\n<\/h6>\r\n*you can also get to the Network Analyzer programatically:\r\nanalyzeNetwork(net);<\/pre>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/h6>\r\n<\/a>\r\n<\/h6>\r\n5. Learning more about deep learning<\/strong><\/span>\r\n<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/h6>\r\nThis is not<\/span> an official benefit of the app, but something I'll mention because it's helped me. Before I started using the app, I wouldn't have been able to tell you anything about \"Leaky ReLU layers\", since I didn't know they existed!<\/span>\r\n<\/h6>\r\n<\/a>\r\n<\/h6>\r\nBy taking a look at all the different layers on the left**, I can pinpoint new layers I may want to learn about, then go to the documentation to learn more! For example, A leaky ReLU layer<\/a> will take any input value less than zero and multiply it by a fixed scalar. In comparison, a regular ReLU will set anything less than zero to zero.<\/span>\r\n<\/h6>\r\n**If you are looking for every layer that exists in MATLAB, here is a link to all layers<\/a> in documentation.<\/em>\r\n<\/h6>\r\nHopefully you feel compelled to try the app right now<\/strong>.\u00a0As always, you can get a free trial of all our deep learning tools to try the latest functionality:\u00a0Link to Trial <\/strong><\/a><\/span>\r\n\r\n \r\n<\/h6>\r\nDo you like this app, or like another app better? Let me know in the comments below.\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>\r\n<\/h6>
<\/a>\r\n