https://github.com/hereismari/deeplearning
This repository keeps track of my path towards understanding Deep Learning concepts (mainly with TensorFlow).
https://github.com/hereismari/deeplearning
deep-learning education neural-network tensorflow tutorial
Last synced: 9 months ago
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This repository keeps track of my path towards understanding Deep Learning concepts (mainly with TensorFlow).
- Host: GitHub
- URL: https://github.com/hereismari/deeplearning
- Owner: hereismari
- Created: 2017-02-20T19:52:03.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2020-09-24T20:48:04.000Z (over 5 years ago)
- Last Synced: 2025-03-30T14:41:41.660Z (10 months ago)
- Topics: deep-learning, education, neural-network, tensorflow, tutorial
- Language: Jupyter Notebook
- Homepage:
- Size: 13.8 MB
- Stars: 72
- Watchers: 4
- Forks: 18
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# DeepLearning: [bit.ly/awesome-dl](https://bit.ly/awesome-dl)
This repository keeps track of my path towards understanding Deep Learning concepts (mainly with TensorFlow).
## What can you find here?
* Links to my personal projects while learning Deep Learning and Tensorflow
* Links for online resources to get started with Deep Learning and TensorFlow
## Personal Projects
* [Getting Started with Deep Learning with MNIST](https://github.com/mari-linhares/mnist-tensorflow)
* [MNIST running on Android](https://github.com/mari-linhares/mnist-android-tensorflow)
* [Exploring Spiral Dataset](exploring-spiral-dataset/)
* [Vanilla GANs for fashion MNIST](GAN-fashion-MNIST/)
* [Easy 21 - Getting started with Reinforcement Learning](https://github.com/mari-linhares/easy21)
* [TensorFlow Brasil - A repository for TensorFlow code samples and tutorials in Portuguese](https://github.com/mari-linhares/tensorflow-brasil)
* [Teachable games - Using DeepLearnJS to play games just using a camera](https://github.com/mari-linhares/teachable-machine-games)
* [Modified version of text generation tutorial including fun examples](https://github.com/mari-linhares/tf-eager-text-generation)
## Get Started with Deep Learning and TensorFlow
Go to [bit.ly/awesome-dl](https://bit.ly/awesome-dl)
### DL and ML 101: blog posts and videos to get started
* [A friendly introduction to Deep Learning and Neural Networks](https://www.youtube.com/watch?v=BR9h47Jtqyw)
* [How Deep Neural Networks Work](https://www.youtube.com/watch?v=ILsA4nyG7I0)
* [Tensorflow and deep learning, without a PhD, Martin Gorner, Google](https://www.youtube.com/watch?v=sEciSlAClL8&t=2163s)
* [TensorFlow Tutorial (Sherry Moore, Google Brain)](https://www.youtube.com/watch?v=Ejec3ID_h0w).
### Math for Deep Learning and Machine Learning
* [The Matrix Calculus You Need For Deep Learning](https://arxiv.org/abs/1802.01528)
* [3Blue1Brown Youtube Channel](https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw)
### CNNs - Convolutional Neural Networks
* [How Convolutional Neural Networks work](https://www.youtube.com/watch?v=FmpDIaiMIeA&t=1s)
### RNNs - Recurrent Neural Networks
* [Understanding LSTM Networks](http://colah.github.io/posts/2015-08-Understanding-LSTMs/)
* [The Unreasonable Effectiveness of Recurrent Neural Networks](http://karpathy.github.io/2015/05/21/rnn-effectiveness/)
### GANs - Generative Adversarial Networks
* [Original Paper](https://arxiv.org/abs/1406.2661)
* [Introduction to GANs (Keras)](https://www.analyticsvidhya.com/blog/2017/06/introductory-generative-adversarial-networks-gans/)
* [GANs for beginners (TensorFlow)](https://www.oreilly.com/learning/generative-adversarial-networks-for-beginners)
* [Blog post about the different kinds of GANs](http://guimperarnau.com/blog/2017/03/Fantastic-GANs-and-where-to-find-them)
* [DCGAN implementation on TensorFlow](https://github.com/carpedm20/DCGAN-tensorflow)
* [Generative models implementation (TensorFlow, Pytorch)](https://github.com/wiseodd/generative-models/)
### RL - Reinforcement Learning
* [Full Course by David Silver](https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PLzuuYNsE1EZAXYR4FJ75jcJseBmo4KQ9)
### Blogs
* [Colah's Blog](http://colah.github.io/)
* [Open AI](https://blog.openai.com/)
* [Fast AI](http://www.fast.ai/)
### University Courses
* [CS 20SI: TensorFlow for Deep Learning Research](http://web.stanford.edu/class/cs20si/syllabus.html)
* [CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io/)
* [MIT 6.S094: Deep Learning for Self-Driving Cars](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
### Youtube series
* [Siraj Raval](https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A)
* [sentdex](https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ)
* [Hvass Lab](https://www.youtube.com/user/hvasslabs/videos)
* [Google Dev - Machine Learning Recipes](https://www.youtube.com/watch?v=cKxRvEZd3Mw&index=7&list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal)
* [3Blue1Brown](https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw)
### GO DEEP - learn more about deep learning in 1 or 2 months
* [How do I learn deep learning in 2 months](https://www.quora.com/How-do-I-learn-deep-learning-in-2-months)
* [Learn deep learning, from novice to advanced](https://www.commonlounge.com/discussion/81f5bbcfea4e44b9b2bd081d1ea536ac/main)
### Advanced tutorials
* [Jason Mayes - Rock Paper Scissors - Machine Learning Style using Tensor Flow](https://www.youtube.com/watch?v=mtRDNDqjUzM)