Congratulations!

You've completed MNIST Dataset Deep Learning scenario.

You've used the capabilities of TensorFlow to create the hidden layer and train the network on the MNIST Dataset.

MNIST Dataset Deep Learning

Step 1 of 6

Load Dataset

The goal of the current scenario, you're going to build a deeper neural network. This means you will add a hidden layer before the output one.

We've prepared the backbone of the code for you in the neural_network.py file. The tasks have been pointed out.

Task 1

The first task is to lead the MNIST dataset. You can use the input_data.read_data_sets function. Use a path of your choice and the one_hot encoding.

The images are of the 28 x 28 size. The hidden layer has 1024 neurons and there are 10 labels.

image_size = 28 labels_size = 10 hidden_size = 1024