nlintz/TensorFlow-Tutorials
A set of TensorFlow tutorials teaching basic deep learning models including linear regression, CNNs, LSTMs, and GANs.
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This repository contains Jupyter Notebook tutorials introducing deep learning with TensorFlow. It covers foundational topics from simple linear regression to modern architectures including convolutional neural networks, recurrent LSTMs, denoising autoencoders, word2vec embeddings, and generative adversarial networks. The tutorials also include TensorBoard visualization and model saving/restoring examples.
Frequently asked
- What is nlintz/TensorFlow-Tutorials?
- A set of TensorFlow tutorials teaching basic deep learning models including linear regression, CNNs, LSTMs, and GANs.
- Is TensorFlow-Tutorials open source?
- Yes — nlintz/TensorFlow-Tutorials is an open-source project tracked on heatdrop.
- What language is TensorFlow-Tutorials written in?
- nlintz/TensorFlow-Tutorials is primarily written in Jupyter Notebook.
- How popular is TensorFlow-Tutorials?
- nlintz/TensorFlow-Tutorials has 6k stars on GitHub.
- Where can I find TensorFlow-Tutorials?
- nlintz/TensorFlow-Tutorials is on GitHub at https://github.com/nlintz/TensorFlow-Tutorials.