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... read more >>

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... read more >>

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... read more >>

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... read more >>

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)... read more >>

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... read more >>

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... read more >>

Note: Post updated 27-Sep-2018 to correct a typo in the implementation of the backward function. One of the new Neural Network Toolbox features of R2017b is the ability to define your own network... read more >>