Getting Started With TensorFlow

Vivek Kalyanrangan shows us how to install TensorFlow:

Installing Tensorflow with GPU requires you to have NVIDIA GPU. AMD video cards are not supported with tensorflow. NVIDIA uses low level GPU computing system called CUDA. It is an NVIDIA proprietary software.

One can go the OpenCL way with AMD but as of now it won’t work with tensorflow.

Also, all NVIDIA devices are not supported. Here is a list from the NVIDIA documentation listing the supported GPUs.

By the end of it, Vivek also shows us a simple trained model.

Related Posts

Natural Language Generation With Markov Chains

Abdul Majed Raja shows off Markovify, a Python package which builds sentences using Markov chains: Markov chains, named after Andrey Markov, are mathematical systems that hop from one “state” (a situation or set of values) to another. For example, if you made a Markov chain model of a baby’s behavior, you might include “playing,” “eating”, […]

Read More

TensorFlow Lite

Laurence Maroney explains TensorFlow Lite: TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices. It enables on-device machine learning inference with low latency and a small binary size. TensorFlow Lite also supports hardware acceleration with the Android Neural Networks API. It’s designed to be low-latency, with optimized kernels for mobile apps, pre-fused activations and […]

Read More

Categories

September 2017
MTWTFSS
« Aug Oct »
 123
45678910
11121314151617
18192021222324
252627282930