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 94 (0 this week)
Watchers 2 (0 this week)
Forks 61
License unknown
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RepositoryStats indexes 616,861 repositories, of these Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization is ranked #314,227 (49th percentile) for total stargazers, and #493,533 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #7,783/18,375.

Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization is also tagged with popular topics, for these it's ranked: deep-learning (#5,288/8702),  transformers (#537/876),  neural-networks (#470/745),  face-recognition (#194/348),  transfer-learning (#176/320),  audio-processing (#160/300),  question-answering (#157/272),  named-entity-recognition (#162/225),  coursera (#71/128),  optimization-algorithms (#65/128)

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Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization has Github issues enabled, there are 3 open issues and 2 closed issues.

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updated: 2025-01-20 @ 01:02pm, id: 319335659 / R_kgDOEwis6w