Book_DeepLearning_Practice | Book_DeepLearning_Practice
kandi X-RAY | Book_DeepLearning_Practice Summary
kandi X-RAY | Book_DeepLearning_Practice Summary
Book_DeepLearning_Practice is a Python library. Book_DeepLearning_Practice has no bugs, it has no vulnerabilities and it has low support. However Book_DeepLearning_Practice build file is not available. You can download it from GitHub.
Book_DeepLearning_Practice
Book_DeepLearning_Practice
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Quality
Security
License
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Support
Book_DeepLearning_Practice has a low active ecosystem.
It has 32 star(s) with 32 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Book_DeepLearning_Practice is current.
Quality
Book_DeepLearning_Practice has 0 bugs and 0 code smells.
Security
Book_DeepLearning_Practice has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Book_DeepLearning_Practice code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Book_DeepLearning_Practice 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
Book_DeepLearning_Practice releases are not available. You will need to build from source code and install.
Book_DeepLearning_Practice has no build file. You will be need to create the build yourself to build the component from source.
Book_DeepLearning_Practice saves you 212678 person hours of effort in developing the same functionality from scratch.
It has 211823 lines of code, 150 functions and 46 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Book_DeepLearning_Practice and discovered the below as its top functions. This is intended to give you an instant insight into Book_DeepLearning_Practice implemented functionality, and help decide if they suit your requirements.
- Classify text using tezhi
- Get a sentence from a prefix word
- Get the top word of a given type word
- Return a list of sentences from a given word
- Get the symbol
- Inception B
- Inception A
- Convolutional convolution layer
- Gather answers from the system
- Get answer from SOGou
- Check the last sentence in the answer
- Decode X into a string
- Delete not needed words
- Encodes the given matrix C
- Load word2vec model
- Test the test
- Initialize threads and threads
- Insert a list of content
- Returns a dictionary of feature features
- Filter the answer to the rte
- Return the compressed answer
- Train classifier
- Train LSTM model
- Save text to a file
- Encodes a matrix of C
- Evaluate the LSTM accuracy
Get all kandi verified functions for this library.
Book_DeepLearning_Practice Key Features
No Key Features are available at this moment for Book_DeepLearning_Practice.
Book_DeepLearning_Practice Examples and Code Snippets
No Code Snippets are available at this moment for Book_DeepLearning_Practice.
Community Discussions
No Community Discussions are available at this moment for Book_DeepLearning_Practice.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Book_DeepLearning_Practice
You can download it from GitHub.
You can use Book_DeepLearning_Practice 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.
You can use Book_DeepLearning_Practice 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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