tinyflow | Tutorial code on how to build your own Deep Learning System | Machine Learning library

by tqchen C++ Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | tinyflow Summary

tinyflow is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. tinyflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

As explained in the goal of NNVM, it is important to make modular and reusable components for to enable us to build customized learning system easily. We believe the Unix Philosophy can building learning system more fun and everyone can be able to build and understand learning system better.

Support

Quality

Security

License

Reuse

Support

tinyflow has a medium active ecosystem.

It has 1923 star(s) with 376 fork(s). There are 85 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 6 have been closed. On average issues are closed in 23 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tinyflow is current.

Quality

tinyflow has 0 bugs and 0 code smells.

Security

tinyflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tinyflow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tinyflow is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tinyflow releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of tinyflow

Get all kandi verified functions for this library.

tinyflow Key Features

No Key Features are available at this moment for tinyflow.

tinyflow Examples and Code Snippets

No Code Snippets are available at this moment for tinyflow.

Community Discussions

Trending Discussions on tinyflow

input value does not change after keypress event

proxy does not interecept object

QUESTION

input value does not change after keypress event

Asked 2020-Jul-15 at 13:17

I am building/experimenting with building my own small framework.

Well in the end I pass the element's value to the keypress method and it works but with the problem that I always have my initial value of test.

So why isn't console.log showing me my updated text?

...

ANSWER

Answered 2020-Jul-14 at 06:08

This can be done only capturing event while listening keypress event. When you listen event will get latest updated value. In your code your are not capturing event due to reason not getting updated value of target element.

Source https://stackoverflow.com/questions/62888856

QUESTION

proxy does not interecept object

Asked 2020-Jul-10 at 13:26

I have this following problem here:

I try to create a mini framework for learning / experimenting purposes. I have this markup

...

ANSWER

Answered 2020-Jul-10 at 13:26

You set this.passedProps to the Proxy, while you access the properties directly with this.age. If you want it to go through the proxy, then access the properties through this.passedProps.age and this.passedProps.age++.

Source https://stackoverflow.com/questions/62835106

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install tinyflow

TinyFlow is "example code" for NNVM. It demonstrates how can we build a clean, minimum and powerful computational graph based deep learning system with same API as TensorFlow. The operator code are implemented with Torch7 to reduce the effort to write operators while still demonstrating the concepts of the system (and Embedding Lua in C++ is kinda of fun:). TinyFlow is a real deep learning system that can run on GPU and CPUs. To support the examples, it takes. Note that more code in operators can easily be added to make it as feature complete as most existing deep learning systems.
927 lines code for operators
734 lines of code for execution runtime
71 lines of code for API glue
233 lines of code for front-end
Install Torch7 For OSX User, please install Torch with Lua 5.1 instead of LuaJIT, i.e. TORCH_LUA_VERSION=LUA51 ./install.sh
Set up environment variable TORCH_HOME to root of torch
Type make
Setup python path to include tinyflow and nnvm
Try example program python example/mnist_softmax.py

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: