deep-learning-coursera and Andrew-NG-Notes

deep-learning-coursera
51
Established
Andrew-NG-Notes
45
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 2/25
Adoption 10/25
Maturity 8/25
Community 25/25
Stars: 7,713
Forks: 5,492
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 3,620
Forks: 1,239
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Archived Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About deep-learning-coursera

Kulbear/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

Contains Jupyter notebooks implementing core deep learning concepts—from logistic regression and multi-layer perceptrons through CNNs (ResNets, Keras) and sequence models (RNNs)—alongside quiz materials across five course modules. Implementations use NumPy for foundational algorithms and TensorFlow/Keras for practical applications, covering optimization techniques (gradient descent, Adam), regularization, and batch normalization. Spans the full specialization curriculum from foundational neural network theory to advanced architectures for computer vision and natural language processing tasks.

About Andrew-NG-Notes

ashishpatel26/Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.

Related comparisons

deep-learning-coursera and Machine-Learning-Specialization-Coursera deep-learning-coursera and coursera-deep-learning-specialization deep-learning-coursera and deeplearning-notes deep-learning-coursera and CourseraMachineLearning deep-learning-coursera and Deep-Learning-Specialization-Coursera deep-learning-coursera and Machine-Learning-AndrewNg-DeepLearning.AI

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