In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.
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このコースについて
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
習得するスキル
- Deep Learning
- Artificial Neural Network
- Backpropagation
- Python Programming
- Neural Network Architecture
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
シラバス - 本コースの学習内容
Introduction to Deep Learning
Neural Networks Basics
Shallow Neural Networks
Deep Neural Networks
レビュー
- 5 stars89.71%
- 4 stars9.22%
- 3 stars0.80%
- 2 stars0.12%
- 1 star0.13%
ニューラルネットワークとディープラーニング からの人気レビュー
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!
Andrew Ng's presenting style is excellent. Makes the course easy to follow as it gradually moves from the basics to more advanced topics, building gradually. Very good starter course on deep learning.
This is a very good course for people who want to get started with neural networks. Andrew did a great job explaining the math behind the scenes. Assignments are well-designed too. Highly recommended.
A bit easy (python wise) but maybe that's just a reflection of personal experience / practice. The contest is easy to digest (week to week) and the intuitions are well thought of in their explanation.
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