Ravichandiran - Hands-On Deep Learning Algorithms with Python

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Sudharsan Ravichandiran is a data scientist, researcher, artificial intelligence enthusiast, and YouTuber (search for Sudharsan reinforcement learning). He completed his bachelor's in information technology at Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning, which includes natural language processing and computer vision. He is an open source contributor and loves answering questions on Stack Overflow. He also authored a best-seller, Hands-On Reinforcement Learning with Python, published by Packt Publishing.

Sujit S Ahirrao is a computer vision and machine learning researcher and software developer who's mostly experienced in image processing and deep learning. He graduated in electronics and telecommunication from University of Pune. He made his way into the field of artificial intelligence through start-ups and has been a part of in-house R&D teams at well-established firms. He pursues his interest in contributing to education, healthcare, and scientific research communities with his growing skills and experience.

Bharath Kumar Varma currently works as a lead data scientist at an Indian tech start-up called MTW Labs, with clients in India and North America. His primary areas of interest are deep learning, NLP, and computer vision. He is a seasoned architect focusing on machine learning projects, vision and text analytics solutions, and is an active member of the start-up ecosystem. He holds a M.Tech degree from IIT Hyderabad, with a specialization in data science, and is certified in various other technological and banking-related certifications. Aside from his work, he actively participates in teaching and mentoring data science enthusiasts and contributes to the community by networking and working with fellow enthusiasts in groups.

Doug Ortiz is an experienced enterprise cloud, big data, data analytics, and solutions architect who has architectured, designed, developed, re-engineered, and integrated enterprise solutions. His other areas of expertise include Amazon Web Services, Azure, Google Cloud, business intelligence, Hadoop, Spark, NoSQL databases, and SharePoint. He is also the founder of Illustris, LLC.

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Deep learning is one of the most popular domains in the artificial intelligence (AI) space, which allows you to develop multi-layered models of varying complexities. This book introduces you to popular deep learning algorithmsfrom basic to advancedand shows you how to implement them from scratch using TensorFlow. Throughout the book, youll gain insights into each algorithm, the mathematical principles behind it, and how to implement them in the best possible manner.

The book starts by explaining how you can build your own neural network, followed by introducing you to TensorFlow; the powerful Python-based library for machine learning and deep learning. Next, you will get up to speed with gradient descent variants, such as NAG, AMSGrad, AdaDelta, Adam, Nadam, and more. The book will then provide you with insights into the working of