A step-by-step tutorial to develop an RNN that predicts the probability of a word or character given the previous word or character.
A step-by-step tutorial to build generative models through generative adversarial networks (GANs) to generate a new image from existing images.
Using deep neural networks to make sense of unstructured text.
Classifying traffic signs with Apache MXNet: An introduction to computer vision with neural networks
Step-by-step instructions to implement a convolutional neural net, using a Jupyter Notebook.