DeepLearningPractice | neural network based implementation | Machine Learning library

by daviddwlee84 Python Version: Current License: No License

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

kandi X-RAY | DeepLearningPractice Summary

DeepLearningPractice is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Neural Network applications. DeepLearningPractice has no bugs, it has no vulnerabilities and it has low support. However DeepLearningPractice build file is not available. You can download it from GitLab, GitHub.

Basically the neural network based implementation and corresponding notes.

Support

Quality

Security

License

Reuse

Support

DeepLearningPractice has a low active ecosystem.

It has 16 star(s) with 8 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 18 open issues and 0 have been closed. On average issues are closed in 99 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DeepLearningPractice is current.

Quality

DeepLearningPractice has no bugs reported.

Security

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

License

DeepLearningPractice does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

DeepLearningPractice 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.

Top functions reviewed by kandi - BETA

kandi has reviewed DeepLearningPractice and discovered the below as its top functions. This is intended to give you an instant insight into DeepLearningPractice implemented functionality, and help decide if they suit your requirements.

Performs training
Separate data into numpy arrays
Generate training data
Constructs LSTM model
Train the test experiment
Returns the BIRNN cell
Birnn layer
Build the model
Runs a training step
Evaluate predictions from file
Compute the CWS functionality test
Set up train and test data
Evaluate named entity evaluation
Generate a list of medical NER
Build a pre - trained model
Train a BiRNN CRF model
Function to test the NER functionality
Parse POS rules
Takes a tf record and prints it
Evaluate predictions
Performs the backward computation
Build an embedding model
Setup train and test data
Test backprop
Takes a list of word_list_dict_dict and returns a new list with all sub - superscriptors
Create training images
Train the model on data
Build data generator

Get all kandi verified functions for this library.

DeepLearningPractice Key Features

No Key Features are available at this moment for DeepLearningPractice.

DeepLearningPractice Examples and Code Snippets

No Code Snippets are available at this moment for DeepLearningPractice.

Community Discussions

Trending Discussions on DeepLearningPractice

PIL image _crop to tensor, in tensorflow

Tensorlfow, Running Error

QUESTION

PIL image _crop to tensor, in tensorflow

Asked 2017-Jul-30 at 16:47

I am a student studying about deeplearning. I'm using tensroflow framework and make a code. So i have a question. I make a crop image using Pil.image.crop but when I training the Pil.image.crop can't assign to tensor. so How can i assign cropped image to tensor. Plz give me a advice. Thank you. here is my github address https://github.com/dldudwo0805/DeepLearningPractice

...

ANSWER

Answered 2017-Jul-30 at 16:47

You can do it with tf.image.crop_and_resize. Here is an example:

Source https://stackoverflow.com/questions/45400713

QUESTION

Tensorlfow, Running Error

Asked 2017-Jul-24 at 02:01

I want to know why this error occured. The input is image files (24*375*3(width, height, channels)images, *.png) and output is labeled file(.csv) which has Boolean (0 or 1) label.

Here is my github https://github.com/dldudwo0805/DeepLearningPractice

Plz. Give me advice.

The error code is -

...

ANSWER

Answered 2017-Jul-24 at 02:01

y_data = tf.reshape(y_data, [50, 1])

Source https://stackoverflow.com/questions/45271607

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

Vulnerabilities

No vulnerabilities reported

Install DeepLearningPractice

You can download it from GitLab, GitHub.
You can use DeepLearningPractice 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.

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 .

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