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 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).
1.0 - An overview on Lua (slides)
1.1 - An overview on Torch’s Tensors (slides)
1.2 - An overview on Torch’s image package (slides)
3.0 - CNN – Basics (slides, lin, 3conv, 3conv-pool)
3.1 - CNN – Internals (slides, script, 3conv-pool)
3.4 - CNN – Loss functions (slides)
4.0 - RNN – Vectors and sequences (slides)
4.1 - RNN – Forward and backward (slides)
4.3 - RNN – Training (slides)
LSTM and training with rnn package coming soon! 😊