Deep Learning with Python: Hands-On Guide with 10 Real-World Projects Neural Net

$71.43

Deep Learning with Python by Abhishek Kumar

Estimated delivery 3-12 business days

Format Paperback

Condition Brand New

Description Deep Learning with Python: From Basics to Real-World ProjectsAre 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 DifferentUnlike many theoretical books, this guide focuses on practical implementation and real-world -by-step explanations for easy understandingHands-on projects to build real skillsIndustry-relevant tools and techniquesA complete job-ready learning approachThis 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.

Details

ISBN-13 9798255065547
Title Deep Learning with Python
Author Abhishek Kumar
Format Paperback
Year 2026
Pages 140
Publisher Independently Published

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