Keras 2.3 Documentation

首页白天夜间下载阅读记录

我的书签
添加书签移除书签

编辑文档

CIFAR-10 CNN

来源 1 浏览 608 扫码打印 2020-02-05 11:35:56

Train a simple deep CNN on the CIFAR10 small images dataset.

上一篇:

下一篇:

Scikit-learn API
Contributing
Applications
Callbacks
Losses
Regularizers
Utils
Optimizers
Introduction
Activations
Backend
Why use Keras
Metrics
Datasets
Visualization
Initializers
Examples
- Convolutional LSTM
- Addition RNN
- Bidirectional LSTM
- LSTM for text generation
- Baby RNN
- Custom layer - antirectifier
- Sequence to sequence - training
- Fasttext for text classification
- Auxiliary Classifier GAN
- CIFAR-10 CNN
- Stateful LSTM
- Convolution filter visualization
- CIFAR-10 ResNet
- Sentiment classification LSTM
- Image OCR
- Sequence to sequence - prediction
- 1D CNN for text classification
- Deep Dream
- Baby MemNN
- Sentiment classification CNN-LSTM
Constraints
Getting started
- FAQ
- Guide to the Functional API
- Guide to the Sequential model
Layers
- Writing your own Keras layers
- Advanced Activations Layers
- Layer wrappers
- Locally-connected Layers
- Normalization Layers
- Recurrent Layers
- Merge Layers
- Convolutional Layers
- About Keras layers
- Embedding Layers
- Pooling Layers
- Core Layers
- Noise layers
Models
- Model (functional API)
- Sequential
- About Keras models
Preprocessing
- Image Preprocessing
- Text Preprocessing
- Sequence Preprocessing

暂无相关搜索结果！

本文档使用全库网构建

展开/收起文章目录

思维导图备注

文章二维码

手机扫一扫，轻松掌上读

文档下载

请下载您需要的格式的文档，随时随地，享受汲取知识的乐趣！

PDF文档 EPUB文档 MOBI文档

书签列表

阅读记录

阅读进度: 0.00% ( 0/0 ) 重置阅读进度