Incremental-Learning | Implicit Bias of Depth : How Incremental Learning | Machine Learning library

by dsgissin Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Incremental-Learning Summary

Incremental-Learning is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Pytorch applications. Incremental-Learning has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Incremental-Learning build file is not available. You can download it from GitHub.

Code for the paper "The Implicit Bias of Depth: How Incremental Learning Drives Generalization"

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Support

Incremental-Learning has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

Incremental-Learning has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Incremental-Learning is current.

Quality

Incremental-Learning has no bugs reported.

Security

Incremental-Learning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Incremental-Learning is licensed under the MIT License. This license is Permissive.

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

Reuse

Incremental-Learning releases are not available. You will need to build from source code and install.

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

Calculate the log of the given epoch
Convert a model to canonical representation
Returns the eigenvalues of a matrix W
Optimized OMP algorithm
Runs a toy model
Parse input
Convert a model to canonical form
Compares two sets

Get all kandi verified functions for this library.

Incremental-Learning Key Features

No Key Features are available at this moment for Incremental-Learning.

Incremental-Learning Examples and Code Snippets

No Code Snippets are available at this moment for Incremental-Learning.

Community Discussions

Trending Discussions on Incremental-Learning

Incremental learning in keras

QUESTION

Incremental learning in keras

Asked 2020-Nov-12 at 00:45

I am looking for a keras equivalent of scikit-learn's partial_fit : https://scikit-learn.org/0.15/modules/scaling_strategies.html#incremental-learning for incremental/online learning.

I finally found the train_on_batch method but I can't find an example that shows how to properly implement it in a for loop for a dataset that looks like this :

...

ANSWER

Answered 2020-Nov-12 at 00:45

You should feed your data batch-wise. You are giving a single instance but model expecting batch data. So, you need to expand the input dimension for batch size.

Source https://stackoverflow.com/questions/63907380

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

Vulnerabilities

No vulnerabilities reported

Install Incremental-Learning

You can download it from GitHub.
You can use Incremental-Learning 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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