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Math For Deep Learning ; What You Need to know to underatand netural network
With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You’ll also us…
- Edisi
- -
- ISBN/ISSN
- 9781718501904
- Deskripsi Fisik
- xxv + 316 hlm.; 23.5 cm
- Judul Seri
- -
- No. Panggil
- 006.31 RON m
Practical Deep Learning: A Python - Based Introduction
If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical…
- Edisi
- -
- ISBN/ISSN
- 9781718500747
- Deskripsi Fisik
- xxv + 426 hlm.; 23,5 cm
- Judul Seri
- -
- No. Panggil
- 006.3 RON p
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