PDF [Download] Understanding Deep Learning by Simon J.D. Prince
Understanding Deep Learning by Simon J.D. Prince
- Understanding Deep Learning
- Simon J.D. Prince
- Page: 544
- Format: pdf, ePub, mobi, fb2
- ISBN: 9780262048644
- Publisher: MIT Press
Download Understanding Deep Learning
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An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice. Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics. Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion models Short, focused chapters progress in complexity, easing students into difficult concepts Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of models Streamlined presentation separates critical ideas from background context and extraneous detail Minimal mathematical prerequisites, extensive illustrations, and practice problems make challenging material widely accessible Programming exercises offered in accompanying Python Notebooks
Understanding Deep Learning
Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to
Understanding deep convolutional networks
Multilayer neural networks are computational learning architectures that propagate the input data across a sequence of linear operators and simple.
Understanding Deep Learning Algorithms that Leverage
In other words, assuming expansion and separation, self training provably leads to a more accurate classifier than the original pseudo-labeler!
Understanding Deep Learning on Controlled Noisy Labels
Understanding Deep Learning on Controlled Noisy Labels The success of deep neural networks depends on access to high-quality labeled training
Understanding deep learning in land use classification
The use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is rapidly increasing. DL techniques have provided
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