E-Books →Build Your Own AI Hands-On Projects in Deep Learning

AI is transforming the world, from self-driving cars and intelligent chatbots to AI-generated art and powerful recommendation systems. But how do you go beyond theory and start building your own AI models?
Build Your Own AI: Hands-On Projects in Deep Learning is a practical, project-based guide that teaches you how to create and deploy AI models from scratch. As the 10th book in the AI From Scratch series, this book is designed for beginners, developers, and AI enthusiasts who want to gain hands-on experience with deep learning using Python, TensorFlow, and PyTorch.
What You'll Learn in This Book
This book is divided into three sections to help you systematically learn AI development:
Part 1: Foundations of Deep Learning
Understanding neural networks, activation functions, and backpropagation
Setting up Python, Jupyter Notebook, TensorFlow, and PyTorch for AI development
Implementing your first neural network from scratch
Part 2: Hands-On AI Projects
This section covers six real-world AI projects, each with step-by-step code and explanations:
Image Classification with CNNs - Build a deep learning model to recognize handwritten digits and objects.
AI Chatbot with NLP & Transformers - Train a chatbot using LSTMs, GPT, and BERT for intelligent conversations.
AI-Powered Recommendation System - Develop a personalized recommendation engine for books, movies, or e-commerce.
Object Detection with YOLO & SSD - Train AI to detect objects in images and real-time video.
AI-Generated Art with GANs - Create AI-generated artwork using Generative Adversarial Networks.
AI for Self-Driving Cars - Implement reinforcement learning to train an autonomous vehicle simulation.
Part 3: Deploying & Optimizing AI Models
Convert AI models for deployment on mobile, web, and cloud platforms
Optimize performance with hyperparameter tuning, model pruning, and quantization
Explore ethical AI development, safety, and the future of artificial intelligence
Who Is This Book For?
Beginners & AI Enthusiasts - Learn AI step by step, even if you're new to deep learning.
Developers & Data Scientists - Apply AI to real-world projects and enhance your skills.
Students & Researchers - Gain practical experience in AI model training and deployment.
Why Choose This Book?
Project-Based Learning - Learn by doing, with real-world AI applications.
Industry-Relevant Skills - Build AI models used in business, research, and tech industries.
Step-by-Step Guidance - Full Python code and explanations for every project.