Intro to Deep Learning

Use TensorFlow and Keras to build and train neural networks for structured data.

• Learn about linear units, the building blocks of deep learning.
• Add hidden layers to your network to uncover complex relationships.
• Use Keras and Tensorflow to train your first neural network.
• Improve performance with extra capacity or early stopping.
• Add these special layers to prevent overfitting and stabilize training.
• Apply deep learning to another common task.
• Get started with Tensor Processing Units (TPUs)!

• A Single Neuron
• Deep Neural Networks
• Stochastic Gradient Descent
• Overfitting and Underfitting
• Dropout and Batch Normalization
• Binary Classification
• Detecting the Higgs Boson With TPUs