Transformer with Python and TensorFlow 2.0 – Encoder & Decoder
In one of the previous articles, we kicked off the Transformer architecture. Transformer is a huge system with many different parts. They are relying on the same principles like Recurrent Neural Networks and LSTMs, but are trying to overcome their shortcomings....
Understanding Long Short-Term Memory Networks (LSTMs)
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 actually achieved...
Introduction to Recurrent Neural Networks
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...
