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 90 (0 this week)

Watchers 2 (0 this week)

Forks 60

License unknown

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RepositoryStats indexes 579,555 repositories, of these Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization is ranked #309,630 (47th percentile) for total stargazers, and #476,089 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,601/16,901.

Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization is also tagged with popular topics, for these it's ranked: deep-learning (#5,265/8344), transformers (#514/820), neural-networks (#467/715), face-recognition (#201/340), transfer-learning (#175/307), audio-processing (#157/278), question-answering (#155/256), named-entity-recognition (#162/219), optimization-algorithms (#61/123), coursera (#72/121)

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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: 2024-10-28 @ 10:51am, id: 319335659 / R_kgDOEwis6w