April 2021
Intermediate to advanced
316 pages
5h 32m
English
book
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
by Nikhil Ketkar, Jojo Moolayil
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Index
A
abs method
Activation functions
hyperbolic tangent
linear unit
ReLU
sigmoid activation
softmax layer
Adaptive moment estimation (Adam)
addbmm function
addmm function
addmv function
addr function
Allclose method
Area under the curve (AUC)
Argmax method
Argmin method
argsort function
Artificial intelligence (AI)
Autograd package
Automated feature engineering
Automatic differentiation
composite functions
computational graph
deep learning networks
definition
numerical
PyTorch
symbolic
B
Backpropagation
backward() function
baddbmm function
Batch gradient descent (BGD)
Batch normalization
Bidirectional Encoder Representations from Transformers (BERT)
Bilingual evaluation understudy (BLEU)
Binary classification
Binary cross-entropy
bmm function
Boolean flag
C
ceil function
Chunk operation ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.