202310_唐宇迪-零基础入门实战深度学习Pytorch网盘资源免费观看百度云网盘链接提取码分享下载
- file:016-6-池化层的作用与效果.mp4
- file:055-2-图像数据与标签路径处理.mp4
- file:053-4-实用Dataloader加载数据并训练模型.mp4
- file:038-3-训练流程实例.mp4
- file:074-5-QKV计算方法.mp4
- file:006-5-反向传播演示.mp4
- file:030-2-基本模块应用测试.mp4
- file:007-6-神经网络整体架构详细拆解.mp4
- file:046-4-迁移学习方法解读.mp4
- file:024-6-位置编码与解码器.mp4
- file:047-5-输出层与梯度设置.mp4
- file:052-10-测试结果演示分析.mp4
- file:009-8-神经元个数的作用.mp4
- file:019-1-RNN网络结构原理与问题.mp4
- file:013-3-卷积计算详细流程演示.mp4
- file:062-6-字符预处理转换ID.mp4
- file:068-3-基于Flask测试模型预测结果.mp4
- file:043-1-任务分析与图像数据基本处理.mp4
- file:012-2-卷积要完成的任务解读.mp4
- file:049-7-优化器与学习率衰减.mp4
- file:064-8-网络模型预测结果输出.mp4
- file:071-2-源码DEBUG演示.mp4
- file:070-1-项目源码准备.mp4
- file:233.pdf
- file:069-1-视觉transformer要完成的任务解读.mp4
- file:060-4-训练模型所需基本配置参数分析.mp4
- file:010-9-预处理与dropout的作用.mp4
- file:072-3-Embedding模块实现方法.mp4
- file:067-2-服务端处理与预测函数.mp4
- file:034-6-训练一个基本的分类模型.mp4
- file:028-2-CPU与GPU版本安装方法解读.mp4
- file:023-5-多头注意力机制的效果.mp4
- file:058-2-文本数据处理基本流程分析.mp4
- file:059-3-命令行参数与DEBUG.mp4
- folder:202310_唐宇迪-零基础入门实战深度学习Pytorch
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