Tensors, layers, and autoencoders

• Accessing Keras layers
• What are tensors?
• Keras backend
• Introducing autoencoders
• Autoencoder use cases
• Building a simple autoencoder
• Breaking it into an encoder

Intro to CNN's

• How do they work?
• Convolutions demonstration
• Typical architectures
• Input shape to convolutional neural networks
• How to build a simple convolutional net in Keras?
• Deep convolutional models
• Pre-processing images for ResNet50
• Using the ResNet50 model in Keras
• What is going on inside a convnet?

Intro to LSTMs

• What are RNNs?
• What are LSTMs?
• What are LSTMs?
• When to use LSTMs?
• LSTMs + Text
• Embeddings
• Sequence preparation
• Building a LSTM model
• Building a LSTM model