MIT-2018 new Deep Learning algorithm and its application introductory course resource sharing

Course Description:

This is an introductory course on deep learning, and deep learning is mainly used for machine translation, image recognition, games, image generation and more. The course also has two very interesting practical projects:

(1) Generate music based on RNN

(2) Basic X-ray detection, GitHub address: Https://github.com/aamini/introtodeeplearning_labs

At the end of this course, all video tutorials, ppt and companion codes are included.

Course Schedule:

Session 1

Part1 Deep Learning Detailed

Detailed modeling of PART2 depth sequence

LAB1 generating music based on RNN

Session 2

Part1 depth Calculation visual explanation

Part2 Depth Generation model detailed

LAB2 based on X-ray basic detection

Session 3

Part1 Deep Reinforcement Learning detailed

Limitations of deep learning in Part2 and introduction of future research directions

Session 4

Part1 Guest Lecture:google

Part2 Guest Lecture:nvidia

Session 5

Part1 Guest LECTURE:IBM

Part2 Guest lecture:tencent

Video and ppt download address:

Links: Https://pan.baidu.com/s/1qZ0KDtU

Password: Public number reply "MDL", you can get the password

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