Coursera-Deep-Learning and deep-learning

Coursera-Deep-Learning
51
Established
deep-learning
40
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 23/25
Stars: 475
Forks: 364
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 90
Forks: 65
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License 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

khanhnamle1994/deep-learning

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

This collection of assignments provides practical examples for training various deep learning models, starting from basic logistic regression to advanced convolutional and recurrent neural networks. It takes raw datasets like 'notMNIST' images and 'Text8' text, processes them, and outputs trained models capable of classification or sequence prediction, along with visualizations of data relationships like word similarity. It's designed for someone learning or practicing deep learning concepts, such as a data science student or an aspiring machine learning engineer.

deep-learning-education machine-learning-training neural-networks data-science-practice model-development

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