Tutorial by Topics: tensorflow

This section provides an overview of what tensorflow is, and why a developer might want to use it. It should also mention any large subjects within tensorflow, and link out to the related topics. Since the Documentation for tensorflow is new, you may need to create initial versions of those rela...

ParameterDetailspreda TensorFlow tensor of type boolfn1a callable function, with no argumentfn2a callable function, with no argumentname(optional) name for the operation pred cannot be just True or False, it needs to be a Tensor The function fn1 and fn2 should return the same number of outputs...

Tensorflow distinguishes between saving/restoring the current values of all the variables in a graph and saving/restoring the actual graph structure. To restore the graph, you are free to use either Tensorflow's functions or just call your piece of code again, that built the graph in the first place...

When you have huge model, it is useful to form some groups of tensors in your computational graph, that are connected with each other. For example tf.GraphKeys class contains such standart collections as: tf.GraphKeys.VARIABLES tf.GraphKeys.TRAINABLE_VARIABLES tf.GraphKeys.SUMMARIES

A model widely used in traditional statistics is the linear regression model. In this article, the objective is to follow the step-by-step implementation of this type of models. We are going to represent a simple linear regression structure. For our study, we will analyze the age of the children on...

TensorFlow was designed with mobile and embedded platforms in mind. We have sample code and build support you can try now for these platforms: Android iOS Raspberry Pi Appreciated work by MindRocks

This topic is about setting up and managing GPUs in TensorFlow. It assumes that the GPU version of TensorFlow has been installed (see https://www.tensorflow.org/install/ for more information on the GPU installation). You also might want to have a look to the official documentation: https://www.ten...

Building and especially training a model may be easiest done in Python so how to you load and use the trained model in Java? The model can accept any number of inputs, so change the NUM_PREDICTIONS if you want to run more predictions than one. Realize that the Java is using JNI to call into th...

This document shows how to create a cluster of TensorFlow servers, and how to distribute a computation graph across that cluster.