https://github.com/machine-learning-tokyo/intro-to-dl
https://github.com/machine-learning-tokyo/intro-to-dl
Last synced: 6 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/machine-learning-tokyo/intro-to-dl
- Owner: Machine-Learning-Tokyo
- License: mit
- Created: 2019-02-01T07:12:46.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2020-05-02T15:26:26.000Z (almost 6 years ago)
- Last Synced: 2025-04-18T16:26:00.364Z (10 months ago)
- Language: Jupyter Notebook
- Size: 9.77 KB
- Stars: 21
- Watchers: 2
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Intro to Deep Learning
Slides https://goo.gl/cPd9NJ
MLT Workshop on Feb 2 with Dimitris Katsios and Suzana Ilic
For ML engineers and researchers, join the community in Tokyo:
* [Discourse] http://discuss.mltokyo.ai
* [Slack] https://goo.gl/WnbYUP
* [FB] https://www.facebook.com/machinelearningtokyo
## Write a Neural Network from scratch in NumPy
The best way to understand a neural network is to code it up from scratch!
[[Read more]](https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795?fbclid=IwAR16PwZLqxnXE8kUUJWvu9Tmjf5OlKczRPUJENXNpuUTTz0iaKvS4Z7usa8)
[
](https://towardsdatascience.com/lets-code-a-neural-network-in-plain-numpy-ae7e74410795?fbclid=IwAR16PwZLqxnXE8kUUJWvu9Tmjf5OlKczRPUJENXNpuUTTz0iaKvS4Z7usa8)