Deep learning using Keras and TensorFlow.
-
A Single Neuron
Learn about linear units, the building blocks of deep learning. -
Deep Neural Networks
Add hidden layers to your network to uncover complex relationships. -
Stochastic Gradient Descent
Use Keras and Tensorflow to train your first neural network. -
Overfitting and Underfitting
Improve performance with extra capacity or early stopping. -
Dropout and Batch Normalization
Add these special layers to prevent overfitting and stabilize training. -
Binary Classification
Apply deep learning to another common task.