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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 programing 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 programing 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.
This book is written for anyone interested in acquiring theoretical and practical knowledge of Artificial Intelligence. Students pursuing graduation and post-graduation in engineering in computer science can follow this book. In addition, this book will be very useful for candidates who are interested in the Artificial Intelligence-related research.
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