Master's year 2 · Full module

Deep Learning with TensorFlow and Keras

Design, train and evaluate deep neural networks with TensorFlow 2 and Keras, from dense networks to convolutional and recurrent architectures.

Learning objectives

• Build and train a neural network with Keras
• Choose loss functions, optimizers and regularization
• Apply convolutional networks to images
• Process sequences with recurrent networks

Course outline Free preview

1. Neural network fundamentals
2. TensorFlow 2 and the Keras API
3. Training, regularization and monitoring
4. Convolutional networks
5. Recurrent networks and sequences
6. Capstone project