| Hyperparticle/one-pixel-attack-keras |
1,078 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet |
| BIGBALLON/cifar-10-cnn |
726 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
mit |
Python |
| Play deep learning with CIFAR datasets |
| PacktPublishing/Deep-Learning-with-TensorFlow-2-and-Keras |
299 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| Deep Learning with TensorFlow 2 and Keras, published by Packt |
| tensorlayer/awesome-tensorlayer |
212 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
cc0-1.0 |
|
| A curated list of dedicated resources and applications |
| mafda/generative_adversarial_networks_101 |
190 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets. |
| IShengFang/SpectralNormalizationKeras |
86 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
other |
Jupyter Notebook |
| Spectral Normalization for Keras Dense and Convolution Layers |
| vector-1127/DAC |
66 |
|
0 |
0 |
about 7 years ago |
0 |
|
6 |
|
Python |
| clustering |
| King-Of-Knights/Keras-ACGAN-CIFAR10 |
38 |
|
0 |
0 |
about 8 years ago |
0 |
|
6 |
|
Python |
| IShengFang/Relativistic-average-GAN-Keras |
36 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| The implementation of Relativistic average GAN with Keras |
| rohanchopra/cifar10 |
27 |
|
0 |
0 |
almost 9 years ago |
0 |
|
|
mit |
Jupyter Notebook |
| Predict CIFAR-10 labels with 88% accuracy using keras. |
