Pieter Abbeel interview

Loading...
강의 계획서 보기

배우게 될 기술

Artificial Neural Network, Backpropagation, Python Programming, Deep Learning

검토

4.9(97,255개의 평가)
  • 5 stars
    89.60%
  • 4 stars
    9.38%
  • 3 stars
    0.78%
  • 2 stars
    0.11%
  • 1 star
    0.11%
AT

Jun 30, 2020

I think that this course went a little bit too much into needy greedy details of the math behind deep neural networks, but overall I think that it is a great place to start a journey in deep learning!

AG

Jun 01, 2020

It's really quite an amazing course where we get to learn the mathematics behind the Neural Networks. It is great to learn such core basics which will help us further in developing our own algorithms.

수업에서
Neural Networks Basics
Learn to set up a machine learning problem with a neural network mindset. Learn to use vectorization to speed up your models.

강사:

  • Placeholder

    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
  • Placeholder

    Head Teaching Assistant - Kian Katanforoosh

    Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec
  • Placeholder

    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.