Semantic Scholar Open Access 2020 664 sitasi

Dive into Deep Learning

Aston Zhang Zachary Chase Lipton Mu Li Alexander J. Smola

Abstrak

This open-source book represents our attempt to make deep learning approachable, teaching readers the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Our goal is to offer a resource that could (i) be freely available for everyone; (ii) offer sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist; (iii) include runnable code, showing readers how to solve problems in practice; (iv) allow for rapid updates, both by us and also by the community at large; (v) be complemented by a forum for interactive discussion of technical details and to answer questions.

Topik & Kata Kunci

Computer Science Medicine

Penulis (4)

Aston Zhang

Zachary Chase Lipton

Mu Li

Alexander J. Smola

Format Sitasi

APA MLA BibTeX

Zhang, A., Lipton, Z.C., Li, M., Smola, A.J. (2020). Dive into Deep Learning. https://doi.org/10.1016/j.jacr.2020.02.005

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 664×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.jacr.2020.02.005
Akses: Open Access ✓