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Lab: Deep Learning Basics | Artificial Intelligence Nanodegree | Udacity

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neural-network machine-learning deep-learning artificial-intelligence udacity-nanodegree

udacity-aind-deep-learning-basics's Introduction

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!

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