October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Defining regression
Our first task is to define the model that will perform regression on the provided MNIST dataset. So, we will create a TensorFlow model with two hidden layers as part of a fully connected neural network. You may also hear it referred to as MLP.
The model will perform the operation that will fit the following equation, where y is the label, x is the image, W is the weight that the model will learn, and b is the bias, which will also be learned by the model, following is the regression equation for the model:
The regression equation for the model
Supervised learning: When you have data and accurate labels for the training ...
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