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@steelp2002
steelp2002 / bigdata.ipynb
Created May 10, 2018
python for bigdata
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@jeremyjordan
jeremyjordan / sgdr.py
Last active Feb 23, 2022
Keras Callback for implementing Stochastic Gradient Descent with Restarts
View sgdr.py
from keras.callbacks import Callback
import keras.backend as K
import numpy as np
class SGDRScheduler(Callback):
'''Cosine annealing learning rate scheduler with periodic restarts.
# Usage
```python
schedule = SGDRScheduler(min_lr=1e-5,
View A simple example: Confusion Matrix with Keras flow_from_directory.py
import numpy as np
from keras import backend as K
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.preprocessing.image import ImageDataGenerator
from sklearn.metrics import classification_report, confusion_matrix
#Start
train_data_path = 'F://data//Train'
@flyyufelix
flyyufelix / readme.md
Last active Nov 16, 2021
Resnet-101 pre-trained model in Keras
View readme.md

ResNet-101 in Keras

This is an Keras implementation of ResNet-101 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.

ResNet Paper:

Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385
@flyyufelix
flyyufelix / readme.md
Last active Jul 2, 2022
Resnet-152 pre-trained model in Keras
View readme.md

ResNet-152 in Keras

This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.

ResNet Paper:

Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385
@kekeblom
kekeblom / scrape-google-image-search.py
Created Nov 5, 2016
A script for scraping image thumbnails from google image search using selenium.
View scrape-google-image-search.py
# Copyright (c) 2016 Kenneth Blomqvist
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFT