https://github.com/ammar257ammar/keras-inceptionv4
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
Science Score: 10.0%
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Low similarity (7.1%) to scientific vocabulary
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Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
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Fork of kentsommer/keras-inceptionV4
Created almost 5 years ago
· Last pushed almost 9 years ago
https://github.com/ammar257ammar/keras-inceptionV4/blob/master/
# Keras Inception-V4 Keras implementation of Google's inception v4 model with ported weights! As described in: [Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex Alemi)](https://arxiv.org/abs/1602.07261) Note this Keras implementation tries to follow the [tf.slim definition](https://github.com/tensorflow/models/blob/master/slim/nets/inception_v4.py) as closely as possible. Pre-Trained weights for this Keras model can be found here (ported from the tf.slim ckpt): https://github.com/kentsommer/keras-inceptionV4/releases You can evaluate a sample image by performing the following (weights are downloaded automatically): * ```$ python evaluate_image.py``` ``` Loaded Model Weights! Class is: African elephant, Loxodonta africana Certainty is: 0.868498 ``` # News 5/23/2017: * Enabled support for both Theano and Tensorflow (again... :neckbeard:) * Added useful training parameters * l2 regularization added to conv layers * Variance Scaling initialization added to conv layers * Momentum value updated for batch_norm layers * Updated pre-processing to match paper (subtracts 0.5 instead of 1.0 :fire:) * Minor code changes and cleanup is also included in the recent changes # Performance Metrics (@Top5, @Top1) Error rate on non-blacklisted subset of ILSVRC2012 Validation Dataset (Single Crop): * Top@1 Error: 19.54% * Top@5 Error: 4.88% These error rates are actually slightly lower than the listed error rates in the paper: * Top@1 Error: 20.0% * Top@5 Error: 5.0%
Owner
- Name: Ammar Ammar
- Login: ammar257ammar
- Kind: user
- Location: The Netherlands
- Company: Maastricht University
- Repositories: 14
- Profile: https://github.com/ammar257ammar