Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/zmyzheng/neural-networks-and-deep-learning
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
https://github.com/zmyzheng/neural-networks-and-deep-learning
adam autonomous-driving batchnorm cnn dropout face-recognition hyperparameter-tuning keras lstm music-generation natural-language-processing neural-style-transfer regularization residual-networks rnn speech-recognition tensorflow translation xavier-he-initialization yolo
Last synced: 3 months ago
JSON representation
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
- Host: GitHub
- URL: https://github.com/zmyzheng/neural-networks-and-deep-learning
- Owner: zmyzheng
- Created: 2018-07-22T20:08:10.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-10-03T16:32:36.000Z (over 6 years ago)
- Last Synced: 2024-11-02T07:42:28.127Z (3 months ago)
- Topics: adam, autonomous-driving, batchnorm, cnn, dropout, face-recognition, hyperparameter-tuning, keras, lstm, music-generation, natural-language-processing, neural-style-transfer, regularization, residual-networks, rnn, speech-recognition, tensorflow, translation, xavier-he-initialization, yolo
- Language: Jupyter Notebook
- Homepage:
- Size: 662 MB
- Stars: 39
- Watchers: 3
- Forks: 13
- Open Issues: 1
-
Metadata Files:
- Readme: README.md