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Add more description to demos.
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trekhleb committed Dec 25, 2018
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -80,7 +80,7 @@ _Usage examples: as a substitute of all other algorithms in general, image recog
- 📗 [Math | Multilayer Perceptron](homemade/neural_network) - theory and links for further readings
- ⚙️ [Code | Multilayer Perceptron](homemade/neural_network/multilayer_perceptron.py) - implementation example
- ▶️ [Demo | Multilayer Perceptron | MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/neural_network/multilayer_perceptron_demo.ipynb) - recognize handwritten digits from `28x28` pixel images.
- ▶️ [Demo | Multilayer Perceptron | Fashion MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/neural_network/multilayer_perceptron_fashion_demo.ipynb) - recognize the type of clothes from `28x28` pixel images.
- ▶️ [Demo | Multilayer Perceptron | Fashion MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/neural_network/multilayer_perceptron_fashion_demo.ipynb) - recognize the type of clothes (Dress, Coat, Sandal, etc.) from `28x28` pixel images.

## Machine Learning Map

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2 changes: 1 addition & 1 deletion homemade/neural_network/README.md
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▶️ [Demo | Multilayer Perceptron | MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/neural_network/multilayer_perceptron_demo.ipynb) - recognize handwritten digits from `28x28` pixel images.

▶️ [Demo | Multilayer Perceptron | Fashion MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/neural_network/multilayer_perceptron_fashion_demo.ipynb) - recognize the type of clothes from `28x28` pixel images.
▶️ [Demo | Multilayer Perceptron | Fashion MNIST](https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/neural_network/multilayer_perceptron_fashion_demo.ipynb) - recognize the type of clothes (Dress, Coat, Sandal, etc.) from `28x28` pixel images.

## Definition

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