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本视频介绍了SAE的典型网络模型及最佳实践。

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DL之DCGAN(Keras框架)：基于keras框架利用深度卷积对抗网络DCGAN算法对MNIST数据集实现图像生成(保存h5模型→加载模型)

目录基于keras框架利用深度卷积对抗网络DCGAN算法对MNIST数据集实现图像生成设计思路输出结果核心代码相关文章DL之DCGAN(Keras框架)：基于keras框架利用深度卷积对抗网络DCGAN算法对MNIST数据集实现图像生成(保存h5模型→加载模型)DL之DCGAN(Keras框架)：基...

DL之AlexNet(Keras框架)：利用卷积神经网络类AlexNet实现猫狗分类识别(图片数据增强→保存h5模型→加载模型)

目录利用卷积神经网络类AlexNet实现猫狗分类识别(图片数据增强→保存h5模型)设计思路处理过程及结果呈现基于ImageDataGenerator实现数据增强类AlexNet代码相关文章DL之AlexNet(Keras框架)：利用卷积神经网络类AlexNet实现猫狗分类识别(图片数据增强→保存h5...

DL之AlDL之AlexNet：利用卷积神经网络类AlexNet实现猫狗分类识别(图片数据增强→保存h5模型)（二）

基于ImageDataGenerator实现数据增强扩充数据集大小，增强模型的泛化能力。比如进行旋转、变形、归一化等。扩充数据量：对图像作简单的预处理（如缩放，改变像素值范围）；随机打乱图像顺序，并且在图像集上无限循环（不会出现数据用完的情况）；对图像加入扰...

DL之AlexNet：利用卷积神经网络类AlexNet实现猫狗分类识别(图片数据增强→保存h5模型)（一）

利用卷积神经网络类AlexNet实现猫狗分类识别(图片数据增强→保存h5模型)设计思路处理过程及结果呈现Found 17500 images belonging to 2 classes.Found 7500 images belonging to 2 classes._______________...

DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟（九）

DRN Deep residual networks (DRN) are very deep FFNNs with extra connections passing input from one layer to a later layer (often ...

DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟（八）

ELM Extreme learning machines (ELM) are basically FFNNs but with random connections. They look very similar to LSMs and ESNs, but...

DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟（七）

DCIGN Deep convolutional inverse graphics networks (DCIGN) have a somewhat misleading name, as they are actually VAEs but ...

DL：深度学习算法(神经网络模型集合)概览之《THE NEURAL NETWORK ZOO》的中文解释和感悟（六）

DBN Deep belief networks (DBN) is the name given to stacked architectures of mostly RBMs or VAEs. These networks have been shown t...

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