Deep Learning with Python: Step by Step Guide with Keras and Pytorch

Are you thinking of learning deep Learning using Python? If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, this book is for you. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person [...]
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Are you thinking of learning deep Learning using Python? If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, this book is for you. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses. To get the most out of the concepts that would be covered, readers are advised to adopt hands on approach, which would lead to better mental representations. Step By Step Guide and Visual Illustrations and Examples This book and the accompanying examples, you would be well suited to tackle problems, which pique your interests using machine learning and deep learning models. Instead of tough math formulas, this book contains several graphs and images. Book Objectives This book will help you: Have an appreciation for deep learning and an understanding of their fundamental principles. Have an elementary grasp of deep learning concepts and algorithms. Have achieved a technical background in deep learning and neural networks using Python. Target Users The book designed for a variety of target audiences. The most suitable users would include: Anyone who is intrigued by how algorithms arrive at predictions but has no previous knowledge of the field. Software developers and engineers with a strong programming background but seeking to break into the field of machine learning.Seasoned professionals in the field of artificial intelligence and deep learning who desire a bird's eye view of current techniques and approaches. What's Inside This Book? IntroductionWhat is Artificial Intelligence, Machine Learning and Deep Learning?Mathematical Foundations of Deep LearningUnderstanding Machine Learning ModelsEvaluation of Machine Learning Models: Overfitting, Underfitting, Bias Variance TradeoffFully Connected Neural NetworksConvolutional Neural NetworksRecurrent Neural NetworksGenerative Adversarial NetworksDeep Reinforcement LearningIntroduction to Deep Neural Networks with KerasA First Look at Neural Networks in KerasIntroduction to PytorchThe Pytorch Deep Learning FrameworkYour First Neural Network in PytorchDeep Learning for Computer VisionBuild a Convolutional Neural NetworkDeep Learning for Natural Language ProcessingWorking with Sequential DataBuild a Recurrent Neural Network Frequently Asked Questions Q: Is this book for me and do I need programming experience? A: if you want to smash Deep Learning from scratch, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you'll be OK. Q: Can I loan this book to friends? A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days. Q: Can I have a refund if this book is not fitted for me? A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email at [email protected]. If you need to see the quality of our job, AI Sciences Company offering you a free eBook in Machine Learning with Python written by the data scientist Alain Kaufmann at https: //aisciences.lpages.co/ai-science-l1/