https://github.com/ltfschoen/aind2-dl
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
https://github.com/ltfschoen/aind2-dl
categorical-cross-entropy cross-entropy data-cleaning error-functions keras-neural-networks loss-functions matplotlib-figures multi-layer-perceptron normalize one-hot-encode pandas-dataframes scatter-plot sigmoid splitting stochastic-gradient-descent training-set-generator
Last synced: 3 months ago
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AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
- Host: GitHub
- URL: https://github.com/ltfschoen/aind2-dl
- Owner: ltfschoen
- Created: 2017-06-13T04:24:56.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-06-19T10:58:44.000Z (almost 8 years ago)
- Last Synced: 2025-01-04T15:45:13.117Z (5 months ago)
- Topics: categorical-cross-entropy, cross-entropy, data-cleaning, error-functions, keras-neural-networks, loss-functions, matplotlib-figures, multi-layer-perceptron, normalize, one-hot-encode, pandas-dataframes, scatter-plot, sigmoid, splitting, stochastic-gradient-descent, training-set-generator
- Language: Jupyter Notebook
- Size: 138 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# aind2-dl
### Instructions
1. Clone the repository and navigate to the downloaded folder.
```
git clone https://github.com/udacity/aind2-dl.git
cd aind2-dl
```
2. Obtain the necessary Python packages, and switch Keras backend to Tensorflow.
For __Mac/OSX__ or __Linux__:
```
conda env create -f requirements/aind-dl-mac-linux.yml
source activate aind-dl
KERAS_BACKEND=tensorflow python -c "from keras import backend"
```
For __Windows__:
```
conda env create -f requirements/aind-dl-windows.yml
activate aind-dl
set KERAS_BACKEND=tensorflow
python -c "from keras import backend"
```
3. Enjoy!