网络训练数据集的相关内容

文章 2023-08-08 来自：开发者社区

使用卷积神经网络CNN训练minist数据集（二）

""" 使用CNN训练minist数据集 """ # 导入模块 from tensorflow.keras.utils import to_categorical from tensorflow.keras import models, layers from tensorflow.keras.optimizers import RMSprop ...

文章 2023-08-08 来自：开发者社区

使用传统全连接神经网络训练minist数据集（一）

""" 使用全连接神经网络训练minist数据集 """ # 导入模块 import tensorflow as tf from tensorflow.keras.utils import to_categorical from tensorflow.keras import models, layers, regularizers from t...

文章 2023-06-01 来自：开发者社区

深度学习进阶篇[9]：对抗生成网络GANs综述、代表变体模型、训练策略、GAN在计算机视觉应用和常见数据集介绍，以及前沿问题解决

深度学习进阶篇[9]：对抗生成网络GANs综述、代表变体模型、训练策略、GAN在计算机视觉应用和常见数据集介绍，以及前沿问题解决对抗生成网络（GANs）综述1、生成与判别1.1 生成模型所谓生成模型，就是指可以描述成一个生成数据的模型，属于一种概率模型。维基百科上对其的定义是：在概率统计理论中, 生成模型是指能够随机生成观测数据的模型，尤其是在给定某些隐含参数的条件下。它给观测...

文章 2023-03-07 来自：开发者社区

m基于GRNN广义回归神经网络的飞机发动机剩余寿命预测matlab仿真,训练集采用C-MAPSS数据集

1.算法描述 GRNN建立在非参数核回归基础上，以样本数据为后验条件，通过执行诸如Parzen非参数估计，从观测样本里求得自变量和因变量之间的联结概率密度函数之后，直接计算出因变量对自变量的回归值。GRNN不需要设定模型的形式，但是其隐回归单元的核函数中有光滑因子，它们的取对网络有很大影响，需优化取值。GRNNb论具有良好的函数逼近性能，而且因为其网络训练更为方便，因此，GRNN在信号过程、...

文章 2021-10-27 来自：开发者社区

CV之YOLOv3：深度学习之计算机视觉神经网络Yolov3-5clessses训练自己的数据集全程记录(第二次)

训练记录

文章 2021-10-27 来自：开发者社区

CV之YOLO：深度学习之计算机视觉神经网络tiny-yolo-5clessses训练自己的数据集全程记录

训练全部流程记录1、采用tiny-yolo-5clessses训练自己的数据集全部流程记录

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更新时间 2024-02-26 11:04:01

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