"Deep Learning" is the quintessential book for understanding deep learning theory, and you can still read it freely online.
I’m Ready to Join the FREE Crash Course Original Image Scanned Build an automatic test grader and OMR system using computer vision Learning computer vision and deep learning is like putting tools in your toolbox — but you still need the right tool for the job. So how do you know which...
Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX This is not available as PDF download. So, I have taken the prints of the HTML content and binded into a flawl...
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Advanced Deep Learning Techniques for Text and Speech Front Matter Pages 407-407 Download chapter PDF Attention and Memory Augmented Networks Uday Kamath, John Liu, James Whitaker Pages 407-462 Transfer Learning: Scenarios, Self-Taught Learning, and Multitask Learning Uday Kamath, John Liu...
“structured knowledge transfer” to train the model in an end-to-end manner. It aims to accelerate the fitting speed and enhance the learning ability of the student model. The crowd-counting system solution for edge computing is also proposed and implemented on an embedded device equipped with...
Machine learning and AI have appeared on the front page of the New York Times three times in recent memory: 1) When a computer beat the world's #1 chess player 2) When Watson beat the world's best Jeopardy players 3) When deep learning algorithms won a c
in Deep Learning with PyTorchHands-on Tutorials and Projects A digital download that contains everything you need, including: Clear algorithm descriptions that help you to understand the principles that underlie each technique. Step-by-step deep learning tutorials to show you exactly how to apply ea...
Sujit Pal is a Technology Research Director at Elsevier Labs, an advanced technology group within the Reed-Elsevier Group of companies. His interests include semantic search, natural language processing, machine learning, and deep learning. At Elsevier, he has worked on several initiatives involvi...
Maxim has been working as a software developer for more than 20 years and was involved in various areas: distributed scientific computing, distributed systems and big data processing. Since 2014 he is actively using machine and deep learning to solve practical industrial tasks, such as NLP problems...