Deep learning# Traditional Neural Networks Traditional Neural Networks Perceptron Perceptron as a binary classifier Multiclass classification using a perceptron Classifying handwritten digits Binary classification using Keras Multilayer binary classifier Deep neural network on MNIST using Keras Multilayer binary classifier Convolutional Neural Networks (CNNs) Convolutional Neural Networks (CNNs) Wine quality Churn Recognizing handwritten digits with CNN using Keras Classifying cats versus dogs with data generators CIFAR10 image classification Natural Language Processing (NLP) Natural Language Processing (NLP) Classical approaches to text representation Distributed representation for text Text preprocessing of the ‘Alice in Wonderland’ text Recurrent Neural Networks (RNNs) Recurrent Neural Networks (RNNs) Forward pass of a Simple RNN Apple stock price prediction IBM stock price prediction LSTMs, GRUs, and Advanced RNNs LSTMs, GRUs, and Advanced RNNs Sentiment classification with RNN LSTM-Based sentiment classification model GRU-Based sentiment classification model Bidirectional LSTM-based sentiment classification model Stacked LSTM-based sentiment classification model Generative Adversarial Networks (GANs) Generative Adversarial Networks (GANs) Generating a data distribution from a known function Building a generator network Building a discriminator network Building a GAN network More cuisine Milliway's Main Menu