Feed your own image data to a pre-trained network by tensorflow
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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
A hands-on TensorFlow image recognition project teaching a computer to identify 10 everyday objects, originally for a linear algebra class, with tools to train a CNN, auto-tune settings, and test accuracy on random internet images.
deep-learning neural-networks image-classification predictive-analysis data-preprocessing model-evaluation cnn-training tensorflow-keras cifar-10-dataset automated-tuning
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Mar 20, 2026 - 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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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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Feb 14, 2018 - Python
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