머신러닝 토치 라이브러리 강좌 Torch Video Tutorials
2018.03.13 22:35
머신러닝 토치 라이브러리 강좌 Torch Video Tutorials
Torch Video Tutorials
Light your way in Deep Learning with Torch
This aims to be a growing collections of introductory video tutorials on the Torch ecosystem. Torch is one of the fastest and most flexible framework existing for Machine and Deep Learning. And yes, flexibility was used to come with an intimidating learning curve... until now.
Enjoy the view of these videos, transcripts and quizes (you can find in the
res
folder together with some notes about how I made these videos).1 - Get the basics straight
slides)
1.0 - An overview on Lua (1.1 - An overview on Torch’s
Tensor
s (slides)1.2 - An overview on Torch’s
image
package (slides)2 - Artificial Neural Networks
slides, quiz)
2.0 - Neural Networks – feed forward (inference) (slides, quiz)
2.1 - Neural Networks – back propagation (training) (2.2 - Neural Networks – An overview on Torch’s
nn
package (slides, script)3 - Convolutional Neural Networks
slides,
3.0 - CNN – Basics (lin
,3conv
,3conv-pool
)slides, script,
3.1 - CNN – Internals (3conv-pool
)slides,
3.2 - CNN – Architectures (LeNet5
,AlexNet
,GoogLeNet
)slides,
3.3 - CNN – Training (train.lua
)slides)
3.4 - CNN – Loss functions (4 - Recurrent Neural Networks
slides)
4.0 - RNN – Vectors and sequences (slides)
4.1 - RNN – Forward and backward (4.2 - RNN –
nngraph
package (slides, script)slides)
4.3 - RNN – Training (LSTM and training with
rnn
package coming soon!
[출처] https://github.com/Atcold/torch-Video-Tutorials
본 웹사이트는 광고를 포함하고 있습니다.
광고 클릭에서 발생하는 수익금은 모두 웹사이트 서버의 유지 및 관리, 그리고 기술 콘텐츠 향상을 위해 쓰여집니다.
광고 클릭에서 발생하는 수익금은 모두 웹사이트 서버의 유지 및 관리, 그리고 기술 콘텐츠 향상을 위해 쓰여집니다.