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<title>Deep Learning:  2 Manuscripts, Deep Learning With Keras and Convolutional Neural Networks In Python (Unabridged)</title>
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<description>&amp;#xa0;Deep Learning Two-Audiobook BundleDeep Learning with Keras&amp;#xa0;Here is a preview of what you'll learn:&amp;#xa0;&amp;#xa0;
The difference between deep learning and machine learning
Deep neural networks
Convolutional neural networks
Building deep learning models with Keras
Multi-layer perceptron network models
Activation functions
Handwritten recognition using MNIST
Solving multi-class classification problems
Recurrent neural networks and sequence classification
And much more!

Convolutional Neural Networks in PythonHere is a preview of what you'll learn:

Convolutional neural networks structure
How convolutional neural networks actually work
Convolutional neural networks applications
The importance of convolution operator
Different convolutional neural networks layers and their importance
Arrangement of spatial parameters
How and when to use stride and zero-padding
Method of parameter sharing
Matrix multiplication and its importance
Pooling and dense layers
Introducing non-linearity relu activation function
How to train your convolutional neural network models using backpropagation
How and why to apply dropout
CNN model training process
How to build a convolutional neural network
Generating predictions and calculating loss functions
How to train and evaluate your MNIST classifier
How to build a simple image classification CNN
And much more!</description>
<pubDate>Fri, 11 Sep 2026 10:02:07 +0000</pubDate>
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