deep-learning-coursera and deep-learning-specialization

deep-learning-coursera

Established

deep-learning-specialization

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 10/25

Maturity 9/25

Community 25/25

Stars: 7,713

Forks: 5,492

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stars: 469

Forks: 271

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

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 deep-learning-specialization

greyhatguy007/deep-learning-specialization

Contains Solutions to Deep Learning Specailization - Coursera

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 deeplearning-notes deep-learning-coursera and CourseraMachineLearning deep-learning-coursera and Deep-Learning-Specialization-Coursera

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