Hello Everyone! It's Johanna, and Steve has allowed me to take over the blog from time to time to talk about deep learning. I'm back for another episode of: “Deep Learning in... 더 읽어보기 >>

Hello Everyone! Allow me to quickly introduce myself. My name is Johanna, and Steve has allowed me to take over the blog from time to time to talk about deep learning. Today I’d like to kick... 더 읽어보기 >>

Today I want to show you a documentation example that shows how to train a semantic segmentation network using deep learning and the Computer Vision System Toolbox. A semantic segmentation... 더 읽어보기 >>

The MathWorks Neural Network Toolbox Team has just posted a new tool to the MATLAB Central File Exchange: the Neural Network Toolbox Converter for ONNX Model Format. ONNX, or Open Neural... 더 읽어보기 >>

Earlier this month, the Neural Network Toolbox team submitted a new Deep Learning Network Analyzer tool to the File Exchange. (Note: it requires the R2018a release.) This very useful tool helps you... 더 읽어보기 >>

MathWorks shipped our R2018a release last month. As usual (lately, at least), there are many new capabilities related to deep learning. I showed one new capability, visualizing activations in DAG... 더 읽어보기 >>

The R2018a release has been available for almost two week now. One of the new features that caught my eye is that computing layer activations has been extended to GoogLeNet and Inception-v3. Today I... 더 읽어보기 >>

In my 14-Feb-2018 blog post about creating a simple DAG network, reader Daniel Morris wanted to know if there's a less tedious way, compared to adding layers one at a time, to combine two (or more)... 더 읽어보기 >>

Creating a Simple DAG NetworkToday I want to show the basic tools needed to build your own DAG (directed acyclic graph) network for deep learning. I'm going to build this network and train it on our... 더 읽어보기 >>

Today I want to follow up on my previous post, Defining Your Own Network Layer. There were two reader comments that caught my attention.The first comment, from Eric Shields, points out a key... 더 읽어보기 >>