TensorFlow on the Edge, Part 1 of 5 - DZone Big Data

Deep Learning is growing in power, scale, availability and frameworks. Open Source tools for Neural networks are everywhere, you have so much choice. Interesting new developments like PaddlePaddle, Keras and Deep Water are showing up and updating frequently. Unfortunately a lot of them take some serious power in GPUs, number of nodes, RAM, disk space, network bandwidth and CPU cores like IM2TXT for TensorFlow. These are very good uses of your 100 node Hadoop clusters especially ones running on AWS with GPUs.