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GitHub / iSiddharth20 / DeepLearning-ImageClassification-Toolkit

End-to-end Image Classification using Deep Learning toolkit for custom image datasets. Features include Pre-Processing, Training with Multiple CNN Architectures and Statistical Inference Tools. Special utilities for RAM optimization, Learning Rate Scheduling, and Detailed Code Comments are included.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iSiddharth20%2FDeepLearning-ImageClassification-Toolkit

Stars: 2
Forks: 1
Open issues: 1

License: mit
Language: Jupyter Notebook
Size: 1.3 MB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: about 1 year ago

Commit Stats

Commits: 18
Authors: 4
Mean commits per author: 4.5
Development Distribution Score: 0.389
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/iSiddharth20/DeepLearning-ImageClassification-Toolkit

Topics: collaborate, convolutional-neural-networks, cosine-annealing, deep-learning, efficientnet, gradient-descent, hacktoberfest, image-classification, image-processing, inception-resnet-v2, learn, learning-rate-scheduling, opencv, preprocessing, resnet-50, statistical-analysis, statistical-inference, tensorflow, vgg16

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