April 2018
Beginner to intermediate
500 pages
11h 26m
English
book
Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
Content preview from Hands-On Machine Learning on Google Cloud Platform
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Building a more complex network in Keras
So far, we have built a neural network that is fairly simple. A traditional neural network would have a few more parameters that can be varied to achieve a better predictive power.
Let's understand them by using the classic MNIST dataset. MNIST is a handwritten digit dataset that contains images of size 28 x 28 pixels that are represented as NumPy arrays of 28 x 28 dimensions.
Each image is of a digit and the challenge in hand is to predict the digit the image corresponds to.
Let's download and explore some of the images present in the MNIST dataset, as follows:
In the preceding code snippet, we are ...
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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.