deep-learning-coursera and deeplearning.ai

deep-learning-coursera
51
Established
deeplearning.ai
50
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 7,713
Forks: 5,492
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 364
Forks: 111
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 deeplearning.ai

tsuirak/deeplearning.ai

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

This collection provides organized notes and code implementations for various deeplearning.ai courses. It takes the course materials and programming assignments as input, offering readily available solutions and summaries. It's ideal for students, self-learners, or professionals looking to deepen their understanding of deep learning.

deep-learning-education online-course-supplement tensorflow-learning nlp-studies generative-ai-concepts

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