Dnn_learning_rate
学习率搜索器及循环学习率的实现。self-defined callbacks based on keras for searching and adjusting learing rate during training DNN models
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Speech To Text Benchmark | 570 | 4 months ago | apache-2.0 | Python | ||||||
| speech to text benchmark framework | ||||||||||
| Deep Ctr | 399 | 7 years ago | 3 | Python | ||||||
| An attempt of training DNN models to predict ad click-through rate, implemented with Theano. | ||||||||||
| Aideveloper | 74 | a year ago | 8 | bsd-2-clause | Python | |||||
| GUI-based software for training, evaluating and applying deep neural nets for image classification | ||||||||||
| Query Wellformedness | 63 | 6 years ago | 1 | |||||||
| 25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions. | ||||||||||
| Character Level Cnn Pytorch | 47 | 2 years ago | mit | Python | ||||||
| Character-level CNN for text classification | ||||||||||
| Character Level Cnn Tensorflow | 25 | 2 years ago | mit | Python | ||||||
| Character-level CNN for text classification | ||||||||||
| Neural Network From Scratch Python | 24 | 10 months ago | Python | |||||||
| A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework. | ||||||||||
| Rate | 10 | 3 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures | ||||||||||
| Dnn.repository | 7 | 5 months ago | 3 | mit | C# | |||||
| DNN.Repository is a rich module used for managing and displaying rich collections of images, files, llinks, etc. on your DNN site. Includes user rating, comments, templating and skinning. | ||||||||||
| Mobilenet_ssd_opencv_tensorflow | 5 | 2 years ago | bsd-3-clause | C++ | ||||||
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