Coursera-Deep-Learning and Deep-Learning-Coursera

Coursera-Deep-Learning
51
Established
Deep-Learning-Coursera
48
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 475
Forks: 364
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 136
Forks: 55
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Coursera-Deep-Learning

y33-j3T/Coursera-Deep-Learning

My notes / works on deep learning from Coursera

This collection of notes and solutions from Coursera's Deep Learning specialization helps machine learning practitioners deepen their understanding of TensorFlow. It provides practical examples for building custom models, layers, and loss functions, as well as implementing custom and distributed training techniques. The content is ideal for data scientists and ML engineers looking to extend TensorFlow's capabilities for their projects.

deep-learning machine-learning-engineering neural-network-design model-training-optimization custom-ai-models

About Deep-Learning-Coursera

fotisk07/Deep-Learning-Coursera

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

This project provides the programming assignments from Andrew Ng's Deep Learning Specialization on Coursera. It allows aspiring AI and machine learning engineers to practice building neural networks and apply deep learning concepts to various real-world case studies, ranging from image classification to natural language processing. Users will work with Python and TensorFlow to implement algorithms like Convolutional Neural Networks and LSTMs.

AI education Machine Learning engineering Neural network development Data science training Deep learning practice

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Coursera-Deep-Learning and deep-learning

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