Hands-On Convolutional Neural Networks with TensorFlow

Operations

It's all well and good having variables in our graph, but we also want to do something with them. We can use TensorFlow ops to manipulate our variables.

As explained, our linear classifier is just a matrix multiply so the first op you will use is funnily enough going to be the matrix multiply op. Simply call tf.matmul() on two Tensors you want to multiply together and the result will be the matrix multiplication of the two Tensors you passed in. Simple!

Throughout this book, you will learn about many different TensorFlow ops that you will need to use.

Now that you hopefully have a little understanding about variables and ops, let's construct our linear model. We'll define our model within a function. The function will take as input ...