Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

Examples

5.1     Software dependencies for shallow net in Keras

5.2     Loading MNIST data

5.3     Flattening two-dimensional images to one dimension

5.4     Converting pixel integers to floats

5.5     Converting integer labels to one-hot

5.6     Keras code to architect a shallow neural network

5.7     Keras code to train our shallow neural network

8.1     Keras code to architect an intermediate-depth neural network

8.2     Keras code to compile our intermediate-depth neural network

8.3     Keras code to train our intermediate-depth neural network

9.1     Weight initialization with values sampled from standard normal distribution

9.2     Architecture for a single dense layer of sigmoid neurons

9.3     Weight initialization with values sampled ...