Hands-On Deep Learning Algorithms with Python

Generating handwritten digits

Start the TensorFlow session and generate handwritten digits:

with tf.Session() as session:

Initialize all variables:

    session.run(init)

To execute this for each epoch:

    for epoch in range(num_epochs):

Select the number of batches:

        num_batches = data.train.num_examples // batch_size

To execute this for each batch:

        for i in range(num_batches):

Get the batch of data according to the batch size:

            batch = data.train.next_batch(batch_size)

Reshape the data:

            batch_images = batch[0].reshape((batch_size,784))            batch_images = batch_images * 2 - 1

Sample the batch noise:

            batch_noise = np.random.uniform(-1,1,size=(batch_size,100))

Define the feed dictionaries with input x as batch_images and noise z as batch_noise ...