How neural networks learn distributed representations
Deep learning’s effectiveness is often attributed to the ability of neural networks to learn rich representations of data.
Garrett Hoffman
Content
Convolutional neural networks for language tasks
Though they are typically applied to vision problems, convolution neural networks can be very effective for some language tasks.
Introduction to LSTMs with TensorFlow
How to build a multilayered LSTM network to infer stock market sentiment from social conversation using TensorFlow.