A visual introduction to deep learning pdf download

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Books to Borrow Open Library. Search the Wayback Machine Search icon An illustration of a magnifying glass. Sign up for free Log in. EMBED for wordpress. Want more? Advanced embedding details, examples, and help! You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare.

Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence AI. Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless.

Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going.

It's the future of AI, and this book allows you to fully envision it. Full Color Illustrations. The illustrations are minimal, crisp and stay with you long after you close the book. This will go a long way to democratize AI. Deep learning is the algorithm powering the current renaissance of Artificial Intelligence AI. And the progress is not showing signs of slowing down. This opens up exciting career opportunities in the coming decade.

But deep learning can be quite daunting to learn. With the abundance of learning resources in recent years has emerged another problem�information overload. By the end of this book, you will be able to build a visual intuition about deep learning and neural networks. My journey into AI began after my son was born with a limb difference. I became interested in machine learning in prosthetics and did an MSc at Imperial College London majoring in neurotechnology. I'm currently working in the large language models space, helping developers leverage the power of NLP.

I have also worked in the telecoms data analytics industry, where I did solution engineering for clients in over 15 countries. Above all, I am passionate about education and how we learn.

I am currently working on projects that explore ways to create alternative learning experiences using visuals, storytelling, and games. Connect with me on LinkedIn. There is a day refund policy. And to compensate for your time, you get to keep the book even after the refund. For any queries, send your email to contact kdimensions. One of our most advanced senses is sight. Our eyes alert us to danger, lead us to sustenance, and allow us to enjoy stories.

Meor Amer is a master storyteller. His hand-crafted minimalist graphics are accompanied by succinct descriptions where he illuminates the subtle hints in each picture. I enthusiastically recommend this learning resource for AI enthusiasts. This is an amazing visual illustration book on deep learning. It bridges the gap between textual reading and contextual thinking. You can see what you learn.

It's like "things coming to life! Very clear non-technical explanations of deep learning. Love this book. The visuals help a lot. Meor Amer has produced, for me, the unique foundation overview. Are you a visual learner and want to build an intuition about deep learning?

Here is a good, very easy-to-read book. Learning visually makes it much more interesting and easy.

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