Make Your Own Neural Network: An In-depth Visual Introduction For Beginners: A Simple Guide to Machine Learning with Neural Networks by Michael Taylor

Author:Michael Taylor [Taylor, Michael]
Language: eng
Format: epub, azw3
Publisher: Blue Windmill Media
Published: 2017-08-28T18:30:00+00:00

How A Neural Network is Built in Tensorflow - With Tensorflow, a neural network is built by creating a computational graph, and the graph contains nodes and edges. Once complete, you run the graph, which in our case means running a neural network.

In the context of a neural network, the nodes on a computation graph represent all of the mathematical operations that occur within the network. These can include matrix multiplication, bias addition, and activation functions (all of which you can learn more of in Part 2: The Math of Neural Networks.)

In the context of a neural network, the edges on a computation graph represent all of the data that flows through the network. This data starts its journey as input data into the first layer and then moves through the network.

How To Install Tensorflow -There are multiple ways to install Tensorflow. Are you on a PC? Mac? Running Ubuntu? Running Docker? Rather than try to explain each method, the best way is to simply point you to tensorflow.org/install. You’ll find fantastic step-by-step instructions for every possible setup.

*image taken from tensorflow.org/install

**This introduction is VERY brief. If you want to know more, O’Reilly has a fantastic introduction that is very easy to understand. The official Tensorflow website is also helpful, as is this tutorial series from Learningtensorflow.com.

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