cnn-training

There are 5 repositories under cnn-training topic.

  • yeephycho/tensorflow_input_image_by_tfrecord

    Feed your own image data to a pre-trained network by tensorflow

    Language:Python1681111112

  • OniroAI/Semantic-segmentation-with-MobileNetV3

    TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

    Language:Python614914

  • jh-jeong/selective-convolution

    Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)

    Language:Python24325

  • CG1507/quickcnn

    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 system.

    Language:Python10204

  • mkos/squeezenet

    low level tensorflow implementation of squeezenet

    Language:Python3203