gabrieleangeletti/Deep-Learning-TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
This project offers ready-to-use implementations of common Deep Learning algorithms for quick training and evaluation. It takes your dataset as input and outputs trained models or predictions, enabling you to benchmark or establish baselines for your own custom deep learning solutions. Data scientists, machine learning engineers, and researchers can use this to rapidly experiment with established models.
963 stars. No commits in the last 6 months.
Use this if you need to quickly train and evaluate popular Deep Learning models like Convolutional Networks, Autoencoders, or MultiLayer Perceptrons on your datasets.
Not ideal if you are looking for advanced or state-of-the-art models not listed, or if you need highly customized model architectures beyond what's provided.
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963
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367
Language
Python
License
MIT
Category
Last pushed
Sep 24, 2017
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