Ankit-Kumar-Saini / Coursera_Deep_Learning_Specialization

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

Date Created 2020-12-07 (3 years ago)

Commits 45 (last one 3 years ago)

Stargazers 91 (0 this week)

Watchers 2 (0 this week)

Forks 60

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RepositoryStats indexes 584,353 repositories, of these Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization is ranked #309,436 (47th percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,599/17,098.

Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization is also tagged with popular topics, for these it's ranked: deep-learning (#5,257/8389), transformers (#519/828), neural-networks (#469/718), face-recognition (#201/340), transfer-learning (#174/310), audio-processing (#155/280), question-answering (#156/260), named-entity-recognition (#161/221), coursera (#72/124), optimization-algorithms (#62/124)

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All Topics

mlp coursera rnn-lstm andrew-ng transformers deep-learning neural-networks audio-processing face-recognition transfer-learning question-answering hyperparameter-tuning optimization-algorithms structuring-ml-projects named-entity-recognition voice-activity-detection cnn-for-visual-recognition image-segmentation-tensorflow

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updated: 2024-11-17 @ 01:41am, id: 319335659 / R_kgDOEwis6w