deep-learning-specialization and deep-learning-coursera
The smaller repository, containing solutions, serves as a complement to the larger repository which provides the course assignments, allowing users to verify their work or seek assistance.
About deep-learning-specialization
greyhatguy007/deep-learning-specialization
Contains Solutions to Deep Learning Specailization - Coursera
This project contains solutions to assignments from Coursera's Deep Learning Specialization. If you are taking the course, you can use these solutions to check your work or understand how to approach the programming assignments. This resource is for students, aspiring machine learning engineers, and data scientists learning deep learning concepts.
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.
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