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Clone the repository and navigate to the downloaded folder.
git clone https://github.com/udacity/aind2-dl.git cd aind2-dl
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Obtain the necessary Python packages, and switch Keras backend to Tensorflow.
For Mac/OSX:
conda env create -f requirements/aind-dl-mac.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"
For Linux:
conda env create -f requirements/aind-dl-linux.yml source activate aind-dl KERAS_BACKEND=tensorflow python -c "from keras import backend"
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Enjoy!
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Mini-project for the Artificial Intelligence Nanodegree program by Udacity. The goal of this project was to build a model that learns to judge whether a student gets accepted into graduate school based on GPA, scores on the GRE and class ranking.
miknoj/Student-Admissions-with-Keras
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Mini-project for the Artificial Intelligence Nanodegree program by Udacity. The goal of this project was to build a model that learns to judge whether a student gets accepted into graduate school based on GPA, scores on the GRE and class ranking.
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