Neural Networks From Scratch in Python: Design, Train, and Deploy Neural Networks — Hands-On from Scratch - Tapa blanda

Sinopsis

Neural Networks From Scratch in Python : Design, Train, and Deploy Neural Networks — Hands-On from Scratch

This book is your ultimate guide to understanding and mastering neural networks. Whether you're a beginner exploring the fundamentals or an advanced AI enthusiast diving into deep learning architectures, this book provides a comprehensive, hands-on approach to neural networks.

Inside, you’ll learn about perceptrons, feedforward networks, backpropagation, convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and more. With real-world examples, step-by-step coding tutorials (using TensorFlow and PyTorch), and practical applications in computer vision, natural language processing, and reinforcement learning, this book equips you with the skills to build and optimize AI models.

Key Highlights:
✅ Beginner-Friendly Introduction – Understand the math and logic behind neural networks.
✅ Hands-On Projects – Implement AI models with Python, TensorFlow, and PyTorch.
✅ Advanced Architectures – Explore CNNs, RNNs, GANs, and transformers.
✅ Real-World Applications – Solve problems in healthcare, finance, robotics, and more.
✅ Optimization Techniques – Learn hyperparameter tuning, transfer learning, and model deployment.

Perfect for AI developers, data scientists, and machine learning enthusiasts, Neural Networks Unlocked helps you transform theory into practical AI solutions.

Get ready to unlock the full potential of neural networks and advance your AI expertise!

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