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TORRENT DETAILS

CMU_11-785_Intro_Deep_Learning_Spring2019

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	9bd4c5afe4f80a0b0e519923ff1eb5c76e5c07a9
Size:	3 GB in 22 files
Release Date(s):	Torrent Release: 02-03-2019 by user
Swarm:	0 Seeds & 0 Peers
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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/

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FILE LIST

Filename		Size
	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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