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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Use this if you are a student or practitioner looking for hands-on examples to understand and implement fundamental deep learning algorithms, from data preprocessing to model training and visualization.
Not ideal if you are looking for a ready-to-use application to solve a specific real-world problem or a library for production-level deep learning deployment.
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Nov 05, 2017
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