MachineLearning-memo
kandi X-RAY | MachineLearning-memo Summary
kandi X-RAY | MachineLearning-memo Summary
MachineLearning-memo is a Python library. MachineLearning-memo has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MachineLearning-memo build file is not available. You can download it from GitHub.
MachineLearning-memo
MachineLearning-memo
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Quality
Security
License
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Support
MachineLearning-memo has a low active ecosystem.
It has 4 star(s) with 8 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
MachineLearning-memo has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of MachineLearning-memo is current.
Quality
MachineLearning-memo has no bugs reported.
Security
MachineLearning-memo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
MachineLearning-memo 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.
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MachineLearning-memo releases are not available. You will need to build from source code and install.
MachineLearning-memo has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed MachineLearning-memo and discovered the below as its top functions. This is intended to give you an instant insight into MachineLearning-memo implemented functionality, and help decide if they suit your requirements.
- Add input layer
- Creates a weight variable
- Create a bias variable
- Logistic function
- Calculate the gradient of the gaussian gradient
- Return the sigmoid function
- Build a fully connected layer
- Set random seed
- Adds a new layer
- Generate the bin index
- Plot the histogram of inputs
- Performs OVO decision on the given dataset
- RNN layer
- Add output layer
- Encoder with sigmoid
- Compute the decoder
- Compute accuracy
- Creates a bias tensor
- Max pooling op
- 1d convolutional convolutional layer
Get all kandi verified functions for this library.
MachineLearning-memo Key Features
No Key Features are available at this moment for MachineLearning-memo.
MachineLearning-memo Examples and Code Snippets
No Code Snippets are available at this moment for MachineLearning-memo.
Community Discussions
No Community Discussions are available at this moment for MachineLearning-memo.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MachineLearning-memo
You can download it from GitHub.
You can use MachineLearning-memo 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 MachineLearning-memo 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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