Deep Learning with Python: Hands-On Guide with 10 Real-World Projects Neural Networks, CNN, RNN, LSTM, TensorFlow & PyTorch (2026 Edition)

By Abhishek Kumar

Deep Learning with Python: From Basics to Real-World Projects

Are you struggling to understand deep learning concepts and apply them in real-world scenarios?

Do you want to build AI models, work on real projects, and become job-ready?

This book is your complete step-by-step guide to mastering deep learning using Python-even if you are a beginner.

What You Will LearnDeep Learning fundamentals (AI, Machine Learning, Neural Networks)Python for Data Science (NumPy, Pandas, Matplotlib)ANN, CNN, RNN, and LSTM explained in a simple wayTensorFlow, Keras, and PyTorch with hands-on examples10 real-world projects (Image Classification, Chatbot, Stock Prediction, and more)Model deployment using Flask and StreamlitInterview questions and real-world case studiesAdvanced topics including Transformers, GANs, and Generative AI
Why This Book is Different

Unlike many theoretical books, this guide focuses on practical implementation and real-world application.

Step-by-step explanations for easy understandingHands-on projects to build real skillsIndustry-relevant tools and techniquesA complete job-ready learning approach

This book serves as a complete roadmap to becoming a deep learning engineer.

Who This Book is ForBeginners starting their journey in AI and machine learningStudents preparing for technical rolesDevelopers transitioning into AI and data scienceWorking professionals looking to upgrade their skills
What You Will AchieveBuild deep learning models from scratchWork with real-world datasetsDeploy AI applicationsGain confidence to crack technical interviews
Bonus Included30-day structured learning planInterview preparation guideReal-world case studies

Start your journey today and take the first step toward becoming a job-ready AI professional.

• Format: Paperback
• Language: English
• ISBN: B0GR5PJZCJ
• ISBN13: 9798255065547
• Release Date: April 2026
• Publisher: Independently Published
• Length: 140 Pages
• Weight: 0.43 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"