Productivity multiplier for my DeepLearning project

• By Nishant Agrawal
• on 09/04/2016

After wasting long hours on compiling TensorFlow on GPU instance, I switched to using BitFusion AMI on a trial. This saved me lot of trouble, and also saved me the cost of keeping a once compiled machine for long time. I can launch a new instance with working TensorFlow out-of-the-box. This has helped me immensely for Udacity Machine Learning NanoDegree.