deep-learning-coursera and deeplearning-notes

Both are complementary resources within the Deep Learning Specialization ecosystem, with one offering assignments and the other providing notes to aid in understanding the course material.

deep-learning-coursera
51
Established
deeplearning-notes
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 7,713
Forks: 5,492
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 553
Forks: 168
Downloads: —
Commits (30d): 0
Language: —
License: MIT
Archived Stale 6m No Package No Dependents
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 deeplearning-notes

lijqhs/deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Related comparisons

deep-learning-coursera and Machine-Learning-Specialization-Coursera deep-learning-coursera and coursera-deep-learning-specialization deep-learning-coursera and Andrew-NG-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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