tensorflow-lstm-sin | TensorFlow 1.3 experiment | Machine Learning library

by sunsided Python Version: Current License: No License

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kandi X-RAY | tensorflow-lstm-sin Summary

tensorflow-lstm-sin is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Keras, Neural Network applications. tensorflow-lstm-sin has no bugs, it has no vulnerabilities and it has low support. However tensorflow-lstm-sin build file is not available. You can download it from GitHub.

Single- and multilayer LSTM networks with no additional output nonlinearity based on aymericdamien's TensorFlow examples and Sequence prediction using recurrent neural networks. Experiments with varying numbers of hidden units, LSTM cells and techniques like gradient clipping were conducted using static_rnn and dynamic_rnn. All networks have been optimized using Adam on the MSE loss function.

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tensorflow-lstm-sin has a low active ecosystem.

It has 52 star(s) with 23 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 34 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow-lstm-sin is current.

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tensorflow-lstm-sin has 0 bugs and 0 code smells.

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tensorflow-lstm-sin has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorflow-lstm-sin code analysis shows 0 unresolved vulnerabilities.

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tensorflow-lstm-sin has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

tensorflow-lstm-sin saves you 203 person hours of effort in developing the same functionality from scratch.

It has 498 lines of code, 2 functions and 9 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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Community Discussions

Trending Discussions on tensorflow-lstm-sin

Delayed echo of sin - cannot reproduce Tensorflow result in Keras

QUESTION

Delayed echo of sin - cannot reproduce Tensorflow result in Keras

Asked 2017-Oct-30 at 18:44

I am experimenting with LSTMs in Keras with little to no luck. At some moment I decided to scale back to the most basic problems in order finally achieve some positive result.
However, even with simplest problems I find that Keras is unable to converge while the implementation of the same problem in Tensorflow gives stable result.

I am unwilling to just switch to Tensorflow without understanding why Keras keeps diverging on any problem I attempt.

My problem is a many-to-many sequence prediction of delayed sin echo, example below:
Blue line is a network input sequence, red dotted line is an expected output.
The experiment was inspired by this repo and workable Tensorflow solution was also created from it too. The relevant excerpts from the my code are below, and full version of my minimal reproducible example is available here.

Keras model:

...

ANSWER

Answered 2017-Oct-30 at 18:44

Ok, I have managed to solve this. Keras implementation now converges steadily to a sensible solution too:

The models were in fact not identical. You may inspect with extra caution the Tensorflow model version from the question and verify for yourself that actual Keras equivalent is listed below, and isn't what stated in the question:

Source https://stackoverflow.com/questions/46937898

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Install tensorflow-lstm-sin

You can download it from GitHub.
You can use tensorflow-lstm-sin like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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