Recurrent Neural Network

Posted on Sat 14 April 2018 in Basics • Tagged with Deep Learning, NLP

In Natural Language Processing, traditional neural networks struggle to properly execute the task we give them. To predict the next work in a sentence for instance, or grasp its meaning to somehow classify it, you need to have a structure that can keeps some memory of the words it saw before. That's why Recurrent Neural Network have been designed to do, and we'll look into them in this article.


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Convolution in depth

Posted on Thu 05 April 2018 in Basics • Tagged with Deep Learning, Convolution

CNNs (Convolutional Neural Network) are the most powerful networks used in computer vision. Let's see what a convolutional layer is all about, from the definition to the implementation in numpy, even with the back propagation.


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SGD Variants

Posted on Thu 29 March 2018 in Basics • Tagged with SGD, Deep Learning

Let's get a rapid overview and implementations of the common variants of SGD.


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A simple neural net in numpy

Posted on Tue 20 March 2018 in Basics • Tagged with Neural Net, Back Propagation

Now that we have seen how to build a neural net in pytorch, let's try to take it a step further and try to do the same thing in numpy.


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How Do You Find A Good Learning Rate

Posted on Tue 20 March 2018 in Basics • Tagged with SGD, Learning Rate

This is the main hyper-parameter to set when we train a neural net, but how do you determine the best value? Here's a technique to quickly decide on one.


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A Neural Net In Pytorch

Posted on Fri 16 March 2018 in Basics • Tagged with Neural net, Pytorch, Deep learning

The theory is all really nice, but let's actually build a neural net and train it! We'll see how a simple neural net with one hidden layer can learn to recognize digits very efficiently.


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What Is Deep Learning?

Posted on Tue 13 March 2018 in Basics • Tagged with Neural Net, SGD, Deep Learning

What is deep learning? It's a class of algorithms where you train something called a neural net to complete a specific task. Let's begin with a general overview and we will dig into the details in subsequent articles.


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