In the previous article, we talked about the way that powerful type of Recurrent Neural Networks - Long Short-Term Memory (LSTM) Networks function. Now, we will see how to implement this kind of networks.
Remember how in the previous article we've said that we can predict text and make speech recognition work so well with Recurrent Neural Networks? The truth is that all the big accomplishments that we assigned to RNNs in the previous article are…
Have you ever wondered how predictive text algorithm works? How exactly does that speech recognition software know our voice? As for image classification, convolutional neural networks were turning the whiles behind the scene, for these kinds of problems we are using Recurrent…
Have you ever wondered, how does Snapchat detect faces? How do self-driving cars know where a road is? You are right, they are using special kind of neural networks used for computer vision - Convolutional Neural Networks. In the previous article, we had…
Have you ever wondered how Facebook knows how to suggest the right friend to tag? Speaking of it, how does the Google's image search algorithm work? Yes, you are right, there is a neural network involved in all those tasks.…
Deep learning and artificial intelligence are quite buzz words now, aren't they? However, this field is not quite as new as the majority of people thinks. We as humans were always interested in the way we think and the structure of our brain.
Back in 2015. Google released TensorFlow, the library that will change the field of Neural Networks and eventually make them mainstream. Not only that it became popular for developing Neural Networks, but it enabled higher-level APIs to run on top of it. One of those APIs is Keras.
Code that accompanies this article can be downloaded here. Last week I presented to you my side-project - Simple Neural Network in C#. Now, as I mentioned in that article, the solution presented there is light years away from the optimal solution.…
Code that accompanies this article can be downloaded here. Sometime in the last few weeks, while I was writing the explanations for the way in which neural networks learn and backpropagation algorithm, I realized how I never tried to implement these algorithms in one of…
In the previous article, we covered learning process of ANNs using gradient descent. However, in the last few sentences, I've mentioned that some rocks were left unturned. Specifically, explanation of backpropagation algorithm was skipped. Also, I've mentioned it is a…
