Charmve/computer-vision-in-action
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
Jupyter NotebookNOASSERTION
Pinned issues
Issues
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0.2 计算机视觉基本概念
#39 opened by Charmve - 1
两年过去了,现在已经不更新了吗?
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第 19 章 跨界模型 Transformer
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9.3 使用重复元素的网络(VGG)
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9.2 深度卷积神经网络(AlexNet)
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8.8 基本的图像操作和处理
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13.7 实战项目 12 - PyTorch 如何使用TensorBoard
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3.4 逻辑回归 LR
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我在在线教程里看到的公式是乱码
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1.2 Softmax 回归
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0.5 国内外优秀的计算机视觉团队汇总
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乱码
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14.4 变分自编码器 Variational Auto-encoder, VAE
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17.7 实战项目 16 - 蚂蚁和蜜蜂的分类问题
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第 24 章 大安全时代下的计算机视觉
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第 23 章 大安全时代下的计算机视觉
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第 23 章 轻量级网络浅析
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14.2 自编码器 Auto-encoder
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12.6 图像超分辨率
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14.3 生成对抗网络 GAN
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10.4 实战项目 6 - Kaggle比赛:图像分类(CIFAR-10)
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10.5 实战项目 7 - Kaggle比赛:狗的品种识别(ImageNet Dogs)
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13.6 DeepDream 和风格迁移
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4.5 门控循环单元(GRU)
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4.4 长短期记忆人工神经网络 LSTM
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4.1 循环神经网络 RNN
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0.5 国内外优秀的计算机视觉团队汇总
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0.4 典型的计算机视觉任务
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3.2 k 最近邻算法
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2.2 实战项目 2 - 动手搭建一个卷积神经网络
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第 15 章 深度增强学习
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9.1 卷积神经网络(LeNet)
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1.4 反向传播算法
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0.3 发展历史回顾
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第 16 章 视频理解
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