Feed your own image data to a pre-trained network by tensorflow
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Updated
Nov 29, 2018 - Python
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cnn-training
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TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head
docker
computer-vision
deep-learning
neural-network
notebook
makefile
tensorflow
cnn
segmentation
jupyter-notebooks
semantic-segmentation
loss-functions
augmentation
cnn-training
cnn-segmentation
person-segmentation
mobilenetv3
cnn-architectures
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Jul 6, 2023 - Python
Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)
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May 14, 2019 - Python
QuickCNN is high-level library written in Python, and backed by the Keras, TensorFlow, and Scikit-learn libraries. It was developed to exercise faster experimentation with Convolutional Neural Networks(CNN). Majorly, it is intended to use the Google-Colaboratory to quickly play with the ConvNet architectures. It also allow to train on your local…
deep-learning
tensorflow
keras
image-classification
tensorboard
transfer-learning
convolutional-neural-network
fine-tuning-cnns
cnn-training
bottleneck-features
sklearn-library
google-colaboratory
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Updated
Dec 29, 2018 - Python
low level tensorflow implementation of squeezenet
python
deep-learning
tensorflow
cnn
tensorboard
convolutional-neural-networks
squeezenet
cnn-model
cnn-training
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Updated
Feb 14, 2018 - Python
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