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39 lines
1.7 KiB
Markdown
39 lines
1.7 KiB
Markdown
## tensorflow for deep learning
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<br>
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### 👾 my old ml notebooks and tensorflow/numpy small projects:
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<br>
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* **[ml notebooks](Notebooks)**: my jupyter notebooks with ml models
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* **[tensorflow examples](TensorFlow)**: tensorflow learning examples
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* **[caffe](Caffee)**: an example using caffe library on docker container
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* **[deep art](Deep_Art)**: my deep learning generated art models
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* **[ml numpy](Numpy)**: my code and examples using numpy
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<br>
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---------
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### cool resources
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<br>
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* **[machine learning course, by stanford](http://cs229.stanford.edu/)**
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* **[cnn for visual recognition, by stanford](http://cs231n.stanford.edu/)**
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* **[developer ml course, by google](https://developers.google.com/machine-learning)**
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* **[tensorflow courses, by google](https://www.tensorflow.org/)**
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* **[deep learning basics, by mit](https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0)**
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* **[a chart of neural networks, by asimov institute](http://www.asimovinstitute.org/neural-network-zoo/)**
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* **[course on reinforcement learning, by ucl](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)**
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* **[plaground, by tensorflow](http://playground.tensorflow.org)**
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* **[deep learning course, by nvidia](https://www.youtube.com/playlist?list=PL5B692fm6--tI-ijknnVZWbXU2H4JpSYe)**
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* **[energy-based approaches to representation learning, by y. lecun](https://www.youtube.com/watch?v=m17B-cXcZFI&=&t=524s)**
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* **[deep learning lectures, by lex fridman](https://www.youtube.com/watch?v=O5xeyoRL95U&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)**
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* **[deeplearning.ai, by andrew ng](https://www.deeplearning.ai/deep-learning-specialization/)**
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* **[deep learning, by i. goodfellow et al.](http://www.deeplearningbook.org/)**
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