xiaohu2015/DeepLearning_tutorials
A collection of deep learning algorithms implemented in TensorFlow as educational tutorials.
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This repository provides implementations of fundamental deep learning models using TensorFlow, covering architectures such as Logistic Regression, Multi-Layer Perceptron, Convolutional Neural Networks, LSTM, Restricted Boltzmann Machines, Deep Belief Networks, and various autoencoders. The project aims to mirror the classic Deep Learning Tutorials originally written in Theano, serving as a learning resource for understanding core ML algorithms. It also includes modern CNN architectures like MobileNet and SqueezeNet.
Frequently asked
- What is xiaohu2015/DeepLearning_tutorials?
- A collection of deep learning algorithms implemented in TensorFlow as educational tutorials.
- Is DeepLearning_tutorials open source?
- Yes — xiaohu2015/DeepLearning_tutorials is an open-source project tracked on heatdrop.
- What language is DeepLearning_tutorials written in?
- xiaohu2015/DeepLearning_tutorials is primarily written in Jupyter Notebook.
- How popular is DeepLearning_tutorials?
- xiaohu2015/DeepLearning_tutorials has 1.8k stars on GitHub.
- Where can I find DeepLearning_tutorials?
- xiaohu2015/DeepLearning_tutorials is on GitHub at https://github.com/xiaohu2015/DeepLearning_tutorials.