Training

Location:Training / Machine Learning/Algorithm / Deep Learning Course (NYU, Spring 2020) Yann Lecun / Week 14 – Lecture- Structured prediction with energy based models

You can log in to your eeworld account to continue watching：
Week 14 – Lecture- Structured prediction with energy based models
Login

Duration：2 hours and 7 minutes and 30 seconds
Date：2021/08/22

Uploader：木犯001号

Introduction

keywords： GaN deep learning CNN RNN LSTM

Deep Learning course at NYU, Spring 2020. Taught by Yann LeCun & Alfredo Canziani. With practical applications using PyTorch.

Turing Award winner tells you about deep learning

You Might Like

Recommended Posts

【microbit crowdfunding】Project progress 2016-12-27: During this period, there were many things to do, and it was quite chaotic. In addition, some unexpected things happened, so the progress was affected. Considering that everyone's situation may be sim; dcexpert MicroPython Open Source section

Winbond ISP download source program: http://www.winbond-usa.com/products/mcp/development/ISP40910C.zip; njlianjian MCU

Thank you for being there + seeking change: Some time ago, in order to make a small device, I first selected STC89C52 as the processing core. Later, as the functions continued to be enriched, the program became larger and larger, and the small; jinglixixi Talking

SENSORTILE MIC APP: [b]After reading about the testing and application of sensorile kit in the forum, I want to use sensorile microphone to collect and analyze the sound. Is there any better idea for the storage of sound; 木木铁 MEMS sensors

RVB2601 First Experience: I got this board a long time ago. I had never come into contact with RISC-V before. I have always heard that RISC-V is the closest open source alternative to ARM. I have always wanted to get in touch; 秦天qintian0303 XuanTie RISC-V Activity Zone

Technical Parameters of DCR022405P: Technical parameters of DCR022405P Product model: DCR022405P Output voltage minimum (V): 4.900 Output voltage maximum (V): 5.100 Tolerance (%): 2 Output current (mA): 400 Input voltage minimum (V): 21; huanghuaiping MCU

Recommended Content

Hot VideosMore

Hot ArticlesMore

Circuit

可能感兴趣器件

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews

Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京B2-20211791 京ICP备10001474号-1 电信业务审批[2006]字第258号函

京公网安备 11010802033920号