https://github.com/MrinmoiHossain/Udacity-Deep-Learning-Nanodegree

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
https://github.com/MrinmoiHossain/Udacity-Deep-Learning-Nanodegree

convolutional-networks convolutional-neural-networks deep-learning gans generative-adversarial-network long-short-term-memory-models lstms machine-learning nanodegree neural-network nlp pytorch recurrent-neural-networks rnn sentiment-analysis style-transfer transfer-learning udacity udacity-nanodegree

Last synced: 3 months ago
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The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

• Host: GitHub
• URL: https://github.com/MrinmoiHossain/Udacity-Deep-Learning-Nanodegree
• Owner: MrinmoiHossain
• License: gpl-3.0
• Created: 2019-10-12T10:28:51.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2022-08-23T17:53:45.000Z (about 2 years ago)
• Last Synced: 2024-04-13T12:05:43.346Z (7 months ago)
• Topics: convolutional-networks, convolutional-neural-networks, deep-learning, gans, generative-adversarial-network, long-short-term-memory-models, lstms, machine-learning, nanodegree, neural-network, nlp, pytorch, recurrent-neural-networks, rnn, sentiment-analysis, style-transfer, transfer-learning, udacity, udacity-nanodegree
• Language: Jupyter Notebook
• Size: 403 MB
• Stars: 51
• Watchers: 5
• Forks: 28
• Open Issues: 5

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