梗直哥3套课程合集 - 猎人搜索 轻松搜寻全网资源

• file:11-3集成学习代码实现.mp4
• file:10-1本章总览.mp4
• file:10-2贝叶斯方法核心思想和原理.mp4
• file:09-9SVM回归任务代码实现.mp4
• file:09-6非线性SVM：核技巧.mp4
• file:10-5多项式朴素贝叶斯代码实现.mp4
• file:11-5并行策略：随机森林.mp4
• file:07-6决策树剪枝.mp4
• file:08-5梯度下降优化算法.mp4
• file:08-4正向传播与反向传播.mp4
• file:048.8-4 GoogLeNet.mp4
• file:052.9-2 文本数据预处理.mp4
• file:065.10-9 机器翻译简单代码实现.mp4
• file:037.6-11 梯度下降代码实现.mp4
• file:035.6-9 RMSProp_Adadelta算法.mp4
• file:060.10-4 长短期记忆网络.mp4
• file:047.8-3 批量规范化.mp4
• file:044.7-6 卷积神经网络代码实现（LeNet）.mp4
• file:039.7-1 全连接层问题.mp4
• file:056.9-6 RNN的长期依赖问题.mp4
• file:054.9-4 随时间反向传播算法.mp4
• file:059.10-3 门控循环单元.mp4
• file:042.7-4 卷积层常见操作.mp4
• file:043.7-5 池化层Pooling.mp4
• file:068.11-3 键值对注意力和多头注意力.mp4
• file:3_10-3-Dyna-Q算法代码实现.mp4
• file:3_4-3-马尔可夫决策过程：试着-“干”.mp4
• file:2_8-2-蒙特卡洛策略梯度.mp4
• file:2_9-2-改进型演员评论家算法.mp4
• file:3_3-3-Jupyter-Notebook快速上手.mp4
• file:3_12-3-强化学习最新发展趋势.mp4
• file:2_3-2-conda使用命令.mp4
• file:3_5-3-价值迭代.mp4
• file:2_12-2-项目实战：大模型RLHF.mp4
• file:2_11-2-博弈论与强化学习.mp4
• file:1_1-1-课程内容和理念.mp4
• file:1_4-1-序列建模与概率图模型.mp4
• file:1_3-1-CUDA+Anaconda深度学习环境配置.mp4
• folder:梗直哥3套课程合集
• folder:梗直哥-【机器学习必修课：经典算法与Python实战】
• folder:梗直哥–深度学习必修课：进击算法工程师