Coursera-Deep-Learning and deep-learning
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.
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.
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