| wnzhang/deep-ctr |
399 |
|
0 |
0 |
almost 9 years ago |
0 |
|
3 |
|
Python |
| An attempt of training DNN models to predict ad click-through rate, implemented with Theano. |
| rakeshvar/rnn_ctc |
216 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example. |
| innovation-cat/DeepLearningBook |
113 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
mit |
Python |
| This repository is used to publish source code of my deep learning book |
| huangzhengsjtu/MLP |
8 |
|
0 |
0 |
almost 11 years ago |
0 |
|
0 |
|
Python |
| Multi Layer Perceptron using Theano |
| rakeshvar/cifar |
6 |
|
0 |
0 |
almost 8 years ago |
0 |
|
1 |
|
Python |
| State-of-the-art results in Cifar 100 using theano and theanet. Convolutional Neural Networks with Data Augmentation. |
