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: Tackle multiclass classification challenges with advanced CNN techniques.
8. Transfer Learning in CNNs: Leverage pre-trained models to improve performance and reduce training time.
9. OpenCV, Object Detection, and Localization: Integrate OpenCV for robust object detection and localization tasks.
10. Image Segmentation: Master image segmentation techniques to differentiate between various objects within an image.

Preface Highlights:

Authored by Henilsinh Raj and Nisharg Nargund, this book is a testament to their passion and dedication to the field of AI. Henilsinh, founder of Axamine AI, and Nisharg, founder of OpenRag, bring their extensive research, practical experiences, and personal insights to create a resource that bridges theory and application.

Who Should Read This Book?

Designed for students, researchers, and professionals, this book is perfect for anyone eager to delve into CNNs, from beginners to those with a basic understanding of neural networks. Each chapter builds logically on the previous one, ensuring a smooth and cohesive learning experience.

What Makes This Book Unique?

- Practical Approach: Emphasizes hands-on learning with numerous code snippets and real-world examples.
- Comprehensive Coverage: From fundamental concepts to advanced techniques and applications.
- Personal Insights: Interwoven with the authors' experiences and anecdotes, offering a unique perspective.

Join Henilsinh and Nisharg on a journey through the exciting world of CNNs. With their guidance, you'll not only understand the fundamentals but also be inspired to contribute to this evolving field.

For questions, feedback, or further discussions, reach out to the authors:
- Henilsinh Raj: henilsinhrajraj@gmail.com
- Nisharg Nargund: nisarg.nargund@gmail.com

Start your journey into CNNs with "Fundamentals of CNNs with TensorFlow" and unlock the potential of AI in various domains, from medical imaging to autonomous vehicles.