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 (4 years ago)

Commits 45 (last one 3 years ago)

Stargazers 92 (0 this week)

Watchers 2 (0 this week)

Forks 60

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RepositoryStats indexes 595,856 repositories, of these Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization is ranked #311,344 (48th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,688/17,543.

Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization is also tagged with popular topics, for these it's ranked: deep-learning (#5,287/8512), transformers (#523/849), neural-networks (#473/728), face-recognition (#204/346), transfer-learning (#176/314), audio-processing (#157/289), question-answering (#154/263), named-entity-recognition (#162/222), coursera (#72/127), optimization-algorithms (#64/126)

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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: 2024-11-27 @ 01:01pm, id: 319335659 / R_kgDOEwis6w