LSTMs

Keras LSTM tutorial architecture

Keras LSTM tutorial – How to easily build a powerful deep learning language model

In previous posts, I introduced Keras for building convolutional neural networks and performing word embedding. The next natural step is to talk about implementing recurrent neural networks in Keras. In a previous tutorial of mine, I gave a very comprehensive introduction to recurrent neural networks and long short term memory (LSTM) networks, implemented in TensorFlow.… Read More »Keras LSTM tutorial – How to easily build a powerful deep learning language model

Recurrent LSTM tutorial - unrolled RNN

Recurrent neural networks and LSTM tutorial in Python and TensorFlow

In the deep learning journey so far on this website, I’ve introduced dense neural networks and convolutional neural networks¬†(CNNs) which explain how to perform classification tasks on static images. ¬†We’ve seen good results, especially with CNN’s. However, what happens if we want to analyze dynamic data? What about videos, voice recognition or sequences of text?… Read More »Recurrent neural networks and LSTM tutorial in Python and TensorFlow