cnn-training

There are 0 repository under cnn-training topic.

yeephycho / tensorflow_input_image_by_tfrecord
Feed your own image data to a pre-trained network by tensorflow
cnn-training image tensorflow tfrecords
Language:Python 169
OniroAI / Semantic-segmentation-with-MobileNetV3
TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head
deep-learning tensorflow mobilenetv3 segmentation computer-vision cnn neural-network cnn-segmentation semantic-segmentation person-segmentation makefile docker cnn-training augmentation cnn-architectures loss-functions notebook jupyter-notebooks
Language:Python 59
jh-jeong / selective-convolution
Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)
convolutional-neural-networks deep-learning pytorch cnn-architecture cnn-training
Language:Python 23
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.
keras tensorflow convolutional-neural-network google-colaboratory tensorboard image-classification transfer-learning fine-tuning-cnns cnn-training bottleneck-features deep-learning sklearn-library
Language:Python 10
mkos / squeezenet
low level tensorflow implementation of squeezenet
deep-learning squeezenet tensorflow python tensorboard convolutional-neural-networks cnn cnn-model cnn-training
Language:Python 3