This book has unfolded the reasons of the successful adoption of deep learning-based convolutional neural networks over machine learning- based artificial neural networks. The book has provided sufficient knowledge of the topics like Pandas and Numpy in Python programming language before switching to the core implementation of any Artificial Intelligence (AI) based algorithm. Thereafter, the theoretical concept of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) is discussed with step-by-step implementation in Python programming language. All the layers of the CNN model have been discussed in detail. Separate chapters are dedicated to the process of convolution, activation function, and pooling representing the theoretical concepts with practical implementation.

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