CMU 11-785 Introduction to Deep Learning Spring 2019
Bhiksha Raj

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FolderCMU_11-785_Intro_Deep_Learning_Spring2019
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F18 Lecture 1 - Introduction to Deep Learning-aPY-KC6zeeI.mp4148.82MB
F18 Lecture 2 - The Neural Net as a Universal Approximator-eeq2aG9TKY8.mp4178.28MB
F18 Lecture 3 - Neural Network Training-x9rO7U6wA54.mp4170.26MB
F18 Lecture 4 - Backpropagation-hm_Zg0PgUN8.mp4184.20MB
F18 Lecture 5 - Backpropagation (cont.)-1XgBMUMAQPU.mp4196.39MB
F18 Lecture 6 - Optimization Part 1-qpKkBzBZcJ8.mp4120.97MB
F18 Lecture 7 - Optimization Part 2-m5gRfFsSuS4.mp4171.69MB
F18 Lecture 8 - Convolutional Neural Networks (Part 1)-rr1vJizA1qE.mp4206.07MB
F18 Lecture 9 - Convolutional Neural Networks (Part 2)-H2B0TrpDW_M.mp4207.45MB
F18 Lecture 10 - Recurrent Neural Networks (RNNs) (Part 1)-FgwjF6rCsz8.mp4215.29MB
F18 Lecture 11 - Recurrent Neural Networks (RNNs) (Part 2)-BZsMQhq74d0.mp4202.57MB
F18 Lecture 12 - Loss functions and sequence prediction for RNNs-s4QBIBVsW18.mp4214.65MB
F18 Logistics-QrtrF_w2LuY.mp463.03MB
F18 Recitation 0 (1_2) - Python Primer-XlaIQ9kljJI.mp446.74MB
F18 Recitation 0 (2_2) - Numpy Primer-HL4MTgbZvlg.mp426.54MB
F18 Recitation 1 - Amazon Web Services-9_KReiIZwLE.mp4184.13MB
F18 Recitation 2 - Your First Deep Learning Code-mWPNS4WQ900.mp4123.13MB
F18 Recitation 4 - Tensorboard and Understanding Data-LcaRZCY1WIA.mp4167.65MB
F18 Recitation 6 - HW2 Primer-7SEdt9Nw1xU.mp4110.96MB
F18 Recitation 7- RNNs-Mr5dHOcgD5Q.mp4190.93MB
F18 Recitation 8 - Connectionist Temporal Classification (CTC)-GxtMbmv169o.mp431.44MB
F18 Recitation 9 - Attention Networks HW4 Primer-aJvw9aBFE70.mp4112.17MB
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