Implementing a deep convolutional neural network using TensorFlow

In Chapter 13, Parallelizing Neural Network Training with TensorFlow, you may recall that we implemented a multilayer neural network for handwritten digit recognition problems, using different API levels of TensorFlow. You may also recall that we achieved about 97 percent accuracy.

So now, we want to implement a CNN to solve this same problem and see its predictive power in classifying handwritten digits. Note that the fully connected layers that we saw in the Chapter 13, Parallelizing Neural Network Training with TensorFlow were able to perform well on this problem. However, in some applications, such as reading bank account numbers from handwritten digits, even tiny mistakes can ...

Get Python Machine Learning now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.