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MITDeepLearning/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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topics deep-learning, neural-networks, pytorch; language differs: Jupyter Notebook → Python; license differs: MIT → Apache-2.0
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topics computer-vision, deep-learning, pytorch; license differs: MIT → Apache-2.0
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topics deep-learning, neural-networks, tensorflow; language differs: Jupyter Notebook → Python; license differs: MIT → Apache-2.0
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A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
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topics deep-learning, neural-networks, tensorflow; language differs: Jupyter Notebook → Python; license differs: MIT → Apache-2.0
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TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
Why this match
topics computer-vision, deep-learning, tensorflow