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.

Date Created 2019-10-12 (5 years ago)

Commits 114 (last one 5 years ago)

Stargazers 55 (0 this week)

Watchers 4 (0 this week)

Forks 31

License gpl-3.0

Ranking

RepositoryStats indexes 631,885 repositories, of these MrinmoiHossain/Udacity-Deep-Learning-Nanodegree is ranked #460,619 (27th percentile) for total stargazers, and #365,509 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #12,158/19,028.

MrinmoiHossain/Udacity-Deep-Learning-Nanodegree is also tagged with popular topics, for these it's ranked: deep-learning (#6,951/8803), machine-learning (#6,656/8396), pytorch (#4,896/6215), nlp (#1,996/2521), neural-network (#942/1137), convolutional-neural-networks (#463/568), generative-adversarial-network (#312/381), transfer-learning (#246/323), sentiment-analysis (#194/263), style-transfer (#123/152)

Other Information

MrinmoiHossain/Udacity-Deep-Learning-Nanodegree has 5 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

All Topics

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

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updated: 2025-03-07 @ 02:14am, id: 214627715 / R_kgDODMr1gw