February 2018
Intermediate to advanced
218 pages
5h 31m
English
Content preview from Practical Convolutional Neural Networks
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Summary
In this chapter, we laid the foundation of neural networks and walked through the simplest artificial neural network. We learned how to build a single layer neural network using TensorFlow.
We studied the differences in the layers in the Keras model and demonstrated the famous handwritten number recognition with Keras and MNIST.
Finally, we understood what backpropagation is and used the MNIST dataset to build our network and train and test our data.
In the next chapter, we will introduce you to CNNs.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.