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CMU_11-785_Intro_Deep_Learning_Spring2019

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Size
3 GB
Seeders
15
Leechers
0
Files
22
Category
Other
Added
03/02/19 at 6:02pm GMT+1
Infohash
9bd4c5afe4f80a0b0e519923ff1eb5c76e5c07a9

Description
“Deep Learning” systems, typified by deep neural networks, are increasingly taking over all AI tasks, ranging from language understanding, and speech and image recognition, to machine translation, planning, and even game playing and autonomous driving. As a result, expertise in deep learning is fast changing from an esoteric desirable to a mandatory prerequisite in many advanced academic settings, and a large advantage in the industrial job market.

In this course we will learn about the basics of deep neural networks, and their applications to various AI tasks. By the end of the course, it is expected that students will have significant familiarity with the subject, and be able to apply Deep Learning to a variety of tasks. They will also be positioned to understand much of the current literature on the topic and extend their knowledge through further study.

http://deeplearning.cs.cmu.edu/

File list
  • CMU_11-785_Intro_Deep_Learning_Spring2019
  • F18 Lecture 1 - Introduction to Deep Learning-aPY-KC6zeeI.mp4 141.9 MB
  • F18 Lecture 10 - Recurrent Neural Networks (RNNs) (Part 1)-FgwjF6rCsz8.mp4 205.3 MB
  • F18 Lecture 11 - Recurrent Neural Networks (RNNs) (Part 2)-BZsMQhq74d0.mp4 193.2 MB
  • F18 Lecture 12 - Loss functions and sequence prediction for RNNs-s4QBIBVsW18.mp4 204.7 MB
  • F18 Lecture 2 - The Neural Net as a Universal Approximator-eeq2aG9TKY8.mp4 170 MB
  • F18 Lecture 3 - Neural Network Training-x9rO7U6wA54.mp4 162.4 MB
  • F18 Lecture 4 - Backpropagation-hm_Zg0PgUN8.mp4 175.7 MB
  • F18 Lecture 5 - Backpropagation (cont.)-1XgBMUMAQPU.mp4 187.3 MB
  • F18 Lecture 6 - Optimization Part 1-qpKkBzBZcJ8.mp4 115.4 MB
  • F18 Lecture 7 - Optimization Part 2-m5gRfFsSuS4.mp4 163.7 MB
  • F18 Lecture 8 - Convolutional Neural Networks (Part 1)-rr1vJizA1qE.mp4 196.5 MB
  • F18 Lecture 9 - Convolutional Neural Networks (Part 2)-H2B0TrpDW_M.mp4 197.8 MB
  • F18 Logistics-QrtrF_w2LuY.mp4 60.1 MB
  • F18 Recitation 0 (1_2) - Python Primer-XlaIQ9kljJI.mp4 44.6 MB
  • F18 Recitation 0 (2_2) - Numpy Primer-HL4MTgbZvlg.mp4 25.3 MB
  • F18 Recitation 1 - Amazon Web Services-9_KReiIZwLE.mp4 175.6 MB
  • F18 Recitation 2 - Your First Deep Learning Code-mWPNS4WQ900.mp4 117.4 MB
  • F18 Recitation 4 - Tensorboard and Understanding Data-LcaRZCY1WIA.mp4 159.9 MB
  • F18 Recitation 6 - HW2 Primer-7SEdt9Nw1xU.mp4 105.8 MB
  • F18 Recitation 7- RNNs-Mr5dHOcgD5Q.mp4 182.1 MB
  • F18 Recitation 8 - Connectionist Temporal Classification (CTC)-GxtMbmv169o.mp4 30 MB
  • F18 Recitation 9 - Attention Networks HW4 Primer-aJvw9aBFE70.mp4 107 MB

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