Implementing our first neural network

Great! Now that you've learned the architecture, basics, and scoping mechanism of TensorFlow, it's high time that we move on and implement something moderately complex. Let's implement a neural network. Precisely, we will implement a fully connected neural network model that we discussed in Chapter 1, Introduction to Natural Language Processing.

One of the stepping stones to the introduction of neural networks is to implement a neural network that is able to classify digits. For this task, we will be using the famous MNIST dataset made available at http://yann.lecun.com/exdb/mnist/. You might feel a bit skeptical regarding our using a computer vision task rather than a NLP task. However, vision tasks can be ...

Get Natural Language Processing with TensorFlow now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.