Fundamentals of Convolutional Neural Networks with TensorFlow

By Henilsinh Raj and Nisharg Nargund

Dive into the world of Convolutional Neural Networks (CNNs) with "Fundamentals of CNNs with TensorFlow." Whether you are a novice or a seasoned professional, this comprehensive guide offers a clear path to mastering CNNs, complete with practical examples and code in TensorFlow.

Book Structure:

1. Introduction to Convolutional Neural Networks: Understand the basic concepts and significance of CNNs in modern AI.
2. Convolution and Pooling Layers: Learn about the core building blocks of CNNs and their roles in feature extraction.
3. Activation Functions, Optimizers & Loss Functions: Explore essential components for training effective neural networks.
4. Fundamentals of Image Processing: Gain insights into image preprocessing techniques critical for CNNs.
5. Architecture of CNNs: Delve into the structural aspects of CNNs and various popular architectures.
6. Binary Classification with CNN: Implement and understand binary classification problems using CNNs.
7. Multiclass Classification with CNN:...