What do you think?
Rate this book
Deep Learning with TensorFlow and Keras: From Fundamentals to Advanced Architectures: Master Neural Networks, CNNs, RNNs, GANs & Transfer Learning with ... Intelligence & Machine Learning)
In the fast-paced world of artificial intelligence, deep learning has emerged as the cornerstone of modern innovations—from self-driving cars, chatbots, and voice assistants to medical image diagnostics and predictive analytics. However, for many students and professionals, navigating this field can feel overwhelming due to the depth of mathematical theory, model complexity, and rapidly evolving technologies.
“Deep Learning with TensorFlow and From Fundamentals to Advanced Architectures” is a comprehensive, well-structured guide designed to simplify deep learning by connecting conceptual clarity with hands-on implementation.
Written with an academic tone but packed with real-world examples, this book is structured to take you step-by-step from the foundational mathematics of deep learning to advanced neural architectures like CNNs, RNNs, Autoencoders, and GANs, finishing with transformer-based models and attention mechanisms.
You will build, train, optimize, and evaluate deep learning models using TensorFlow and Keras, one of the most widely-used frameworks in the industry. Each concept is supported by practical applications and guided implementation, ensuring you not only understand the theory but also apply it confidently.
🎯 Key Highlights of the Intuitive explanations of core concepts in neural networks, training methods, and activation functions.Hands-on implementation using TensorFlow 2.x and Keras with datasets like MNIST, CIFAR-10, and IMDB.In-depth exploration of deep learning CNNs for image classification and vision tasksRNNs, LSTMs, and GRUs for sequence modeling and time seriesAutoencoders for feature learning and anomaly detectionGANs for generating realistic synthetic dataTransfer Learning using pre-trained networks for real-world tasksAttention and Transformers for modern NLP and sequence-to-sequence tasksBest practices in hyperparameter tuning, model evaluation, regularization, and visualization.Each chapter includes case studies, hands-on exercises, and project ideas to reinforce learning.
🎁 Benefits of Studying This Book
Whether you’re a student, a researcher, or a professional engineer, this book offers clear and tangible
✅ 1. Build a Strong Foundation in Deep Learning
You will gain conceptual clarity about how deep learning works internally, not just how to use libraries. You'll understand topics like backpropagation, loss functions, and gradient descent, making you capable of designing models from scratch.
✅ 2. Master TensorFlow and Keras for Practical Implementation
Every concept is paired with hands-on coding tutorials.
“Deep Learning with TensorFlow and From Fundamentals to Advanced Architectures” is a comprehensive, well-structured guide designed to simplify deep learning by connecting conceptual clarity with hands-on implementation.
Written with an academic tone but packed with real-world examples, this book is structured to take you step-by-step from the foundational mathematics of deep learning to advanced neural architectures like CNNs, RNNs, Autoencoders, and GANs, finishing with transformer-based models and attention mechanisms.
You will build, train, optimize, and evaluate deep learning models using TensorFlow and Keras, one of the most widely-used frameworks in the industry. Each concept is supported by practical applications and guided implementation, ensuring you not only understand the theory but also apply it confidently.
🎯 Key Highlights of the Intuitive explanations of core concepts in neural networks, training methods, and activation functions.Hands-on implementation using TensorFlow 2.x and Keras with datasets like MNIST, CIFAR-10, and IMDB.In-depth exploration of deep learning CNNs for image classification and vision tasksRNNs, LSTMs, and GRUs for sequence modeling and time seriesAutoencoders for feature learning and anomaly detectionGANs for generating realistic synthetic dataTransfer Learning using pre-trained networks for real-world tasksAttention and Transformers for modern NLP and sequence-to-sequence tasksBest practices in hyperparameter tuning, model evaluation, regularization, and visualization.Each chapter includes case studies, hands-on exercises, and project ideas to reinforce learning.
🎁 Benefits of Studying This Book
Whether you’re a student, a researcher, or a professional engineer, this book offers clear and tangible
✅ 1. Build a Strong Foundation in Deep Learning
You will gain conceptual clarity about how deep learning works internally, not just how to use libraries. You'll understand topics like backpropagation, loss functions, and gradient descent, making you capable of designing models from scratch.
✅ 2. Master TensorFlow and Keras for Practical Implementation
Every concept is paired with hands-on coding tutorials.
376 pages, Kindle Edition
Published April 7, 2025
About the author
Anshuman Mishra
681 books42 followersAnshuman Kumar Mishra, M.Tech and MCA in Computer Science, is a distinguished Assistant Professor at a leading government university with over two decades of teaching experience. His career is marked by a deep-seated passion for education and a profound expertise in the ever-evolving field of technology.
A Visionary in Computer Science and Technology
With more than 20 years of teaching experience, Anshuman has dedicated his life to shaping the next generation of engineers and technologists. He is a master of various domains within computer science, including Artificial Intelligence (AI), Data Science, Python, Java, Web Programming, .NET, and a wide range of core computer science subjects. His unique ability to simplify complex topics has made him a favorite among students and a highly respected figure in the academic community.
An Author of Influence
Anshuman is not only an educator but also a prolific author. He has penned numerous books that have become essential resources for students and professionals alike. His technical books on programming languages and core computer science subjects are known for their clarity, depth, and practical approach. They bridge the gap between theoretical knowledge and real-world application, making them invaluable for anyone looking to excel in the tech industry.
Beyond the Classroom
While his technical expertise is unparalleled, Anshuman's writing journey extends far beyond the confines of computer science. He is a versatile author who has also explored the realms of motivation, the subconscious mind, and storytelling. His books in these genres reflect his holistic perspective on life, combining his logical, analytical mind with a deep understanding of human psychology. Through his motivational and story books, he aims to inspire readers, helping them unlock their true potential and navigate life's challenges with wisdom and resilience.
A Global Voice
As an author, Anshuman Kumar Mishra’s work is a testament to his dedication to sharing knowledge and inspiring change on a global scale. His multifaceted profile—as a seasoned professor, a technical expert, and an inspiring storyteller—makes him a truly remarkable figure. His books are not just about learning; they are about transformation. They empower individuals to master technology, conquer their fears, and write their own success stories.
Discover the world of Anshuman Kumar Mishra’s writings and embark on a journey of knowledge, inspiration, and personal growth.
A Visionary in Computer Science and Technology
With more than 20 years of teaching experience, Anshuman has dedicated his life to shaping the next generation of engineers and technologists. He is a master of various domains within computer science, including Artificial Intelligence (AI), Data Science, Python, Java, Web Programming, .NET, and a wide range of core computer science subjects. His unique ability to simplify complex topics has made him a favorite among students and a highly respected figure in the academic community.
An Author of Influence
Anshuman is not only an educator but also a prolific author. He has penned numerous books that have become essential resources for students and professionals alike. His technical books on programming languages and core computer science subjects are known for their clarity, depth, and practical approach. They bridge the gap between theoretical knowledge and real-world application, making them invaluable for anyone looking to excel in the tech industry.
Beyond the Classroom
While his technical expertise is unparalleled, Anshuman's writing journey extends far beyond the confines of computer science. He is a versatile author who has also explored the realms of motivation, the subconscious mind, and storytelling. His books in these genres reflect his holistic perspective on life, combining his logical, analytical mind with a deep understanding of human psychology. Through his motivational and story books, he aims to inspire readers, helping them unlock their true potential and navigate life's challenges with wisdom and resilience.
A Global Voice
As an author, Anshuman Kumar Mishra’s work is a testament to his dedication to sharing knowledge and inspiring change on a global scale. His multifaceted profile—as a seasoned professor, a technical expert, and an inspiring storyteller—makes him a truly remarkable figure. His books are not just about learning; they are about transformation. They empower individuals to master technology, conquer their fears, and write their own success stories.
Discover the world of Anshuman Kumar Mishra’s writings and embark on a journey of knowledge, inspiration, and personal growth.
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 of 1 review
Read
September 5, 2025"Deep Learning with TensorFlow and Keras: From Fundamentals to Advanced Architectures" is one of the most comprehensive and practical guides I’ve read on deep learning.
The book takes you on a step-by-step journey — from the core mathematics of neural networks and backpropagation to building advanced models like CNNs, RNNs, Autoencoders, GANs, and even Transformer-based architectures. What I really liked was the perfect balance between theory and hands-on coding using TensorFlow 2.x and Keras.
Key highlights for me:
✅ Intuitive explanations that make complex topics easier to grasp
✅ Hands-on coding exercises with popular datasets (MNIST, CIFAR-10, IMDB)
✅ Detailed coverage of hyperparameter tuning, regularization, and model evaluation
✅ Real-world case studies and project ideas that help you build a strong portfolio
This book is perfect for:
Students and researchers learning AI/ML concepts
Developers looking to master TensorFlow and Keras
Anyone preparing for ML/DL job interviews
Enthusiasts curious about how AI models are built, trained, and deployed
Overall, this is an excellent resource for anyone who wants to not just read about deep learning but actually apply it in real-world scenarios. It makes advanced concepts approachable and motivates you to experiment and create.
The book takes you on a step-by-step journey — from the core mathematics of neural networks and backpropagation to building advanced models like CNNs, RNNs, Autoencoders, GANs, and even Transformer-based architectures. What I really liked was the perfect balance between theory and hands-on coding using TensorFlow 2.x and Keras.
Key highlights for me:
✅ Intuitive explanations that make complex topics easier to grasp
✅ Hands-on coding exercises with popular datasets (MNIST, CIFAR-10, IMDB)
✅ Detailed coverage of hyperparameter tuning, regularization, and model evaluation
✅ Real-world case studies and project ideas that help you build a strong portfolio
This book is perfect for:
Students and researchers learning AI/ML concepts
Developers looking to master TensorFlow and Keras
Anyone preparing for ML/DL job interviews
Enthusiasts curious about how AI models are built, trained, and deployed
Overall, this is an excellent resource for anyone who wants to not just read about deep learning but actually apply it in real-world scenarios. It makes advanced concepts approachable and motivates you to experiment and create.
Displaying 1 of 1 review