Sponsored Content
Special Forums UNIX and Linux Applications TensorFlow: Open Source Software Library for Machine Intelligence Post 302974824 by Neo on Saturday 4th of June 2016 04:07:54 AM
Old 06-04-2016
TensorFlow: Open Source Software Library for Machine Intelligence

Hi.

Is anyone using TensorFlow ?

Quote:
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. - Google

Please let us know if you are using or planning to use TensorFlow.

Thanks.
 

3 More Discussions You Might Find Interesting

1. UNIX for Advanced & Expert Users

Help needed to test CorneliOS open source software on different platforms

Hello everyone, I' m currently working on an open source project and I'm looking for people willing to test the software on various platforms so that we'll be able to publish a compatibility list. The project is called CorneliOS, it's a webOS and web application framework, and it has been... (0 Replies)
Discussion started by: joskirps
0 Replies

2. UNIX and Linux Applications

need open source KB software for UNIX

Anyone know of a good open source Knowledge Base software for UNIX that can connect to an Oracle back end? (0 Replies)
Discussion started by: RJ45
0 Replies

3. Virtualization and Cloud Computing

Open Source Cloud Software

Hi all, I'm prepared exploring cloud technology to play on both private and public clouds. Please advise which of the following Open Source Cloud software, other than Ubuntu One, will be more powerful on features:- Abiquo http://www.abiquo.com/ Amazon Elastic Compute Cloud (Amazon EC2)... (2 Replies)
Discussion started by: satimis
2 Replies
MPSCNNNeuronReLUN(3)					 MetalPerformanceShaders.framework				      MPSCNNNeuronReLUN(3)

NAME
MPSCNNNeuronReLUN SYNOPSIS
#import <MPSCNNNeuron.h> Inherits MPSCNNNeuron. Instance Methods (nonnull instancetype) - initWithDevice:a:b: (nonnull instancetype) - initWithDevice: Additional Inherited Members Detailed Description This depends on Metal.framework Specifies the ReLUN neuron filter. For each pixel, applies the following function: f(x) = [ x , x >= 0 [ a * x, x < 0 [ b , x >= b As an example, the TensorFlow Relu6 activation layer can be implemented by setting the parameter b to 6.0f: https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/relu6. The default value of a is 1.0f and the default value of b is 6.0f. Method Documentation - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device Standard init with default properties per filter type Parameters: device The device that the filter will be used on. May not be NULL. Returns: A pointer to the newly initialized object. This will fail, returning nil if the device is not supported. Devices must be MTLFeatureSet_iOS_GPUFamily2_v1 or later. Reimplemented from MPSCNNNeuron. - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device(float) a(float) b Initialize a ReLUN neuron filter Parameters: device The device the filter will run on a Filter property 'a'. See class discussion. b Filter property 'b'. See class discussion. Returns: A valid MPSCNNNeuronReLUN object or nil, if failure. Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNNeuronReLUN(3)
All times are GMT -4. The time now is 01:01 PM.
Unix & Linux Forums Content Copyright 1993-2022. All Rights Reserved.
Privacy Policy