/AIND-Student-Admission

Primary LanguageJupyter Notebook

aind2-dl

Instructions

  1. Clone the repository and navigate to the downloaded folder.

  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"