梗直哥3套课程合集 - 爱搜-网盘资源搜索!
- file:2_2-2-微积分.mp4
- file:3_11-3-多智能体强化学习.mp4
- file:2_12-2-项目实战:大模型RLHF.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_3-3-Jupyter-Notebook快速上手.mp4
- file:2_9-2-改进型演员评论家算法.mp4
- file:2_4-2-马尔可夫观测过程:学会“看”.mp4
- file:1_10-1-基于模型的强化学习核心思想和原理.mp4
- file:1_3-1-CUDA+Anaconda深度学习环境配置.mp4
- file:3_10-3-Dyna-Q算法代码实现.mp4
- file:1_6-1-蒙特卡洛方法.mp4
- file:1_4-1-序列建模与概率图模型.mp4
- file:5_11-5-AlphaStar系统.mp4
- file:05-4线性回归代码实现.mp4
- file:04-1本章总览.mp4
- file:03-13Numpy数组神奇索引和布尔索引.mp4
- file:05-5模型评价:MSE、RMSE、MAE和R方.mp4
- file:03-9Numpy非常重要的数组合并与拆分操作.mp4
- file:06-13评价指标:ROC曲线.mp4
- file:04-4数据集划分:训练集与预测集.mp4
- file:03-1本章总览:相互关系与学习路线.mp4
- file:03-7Numpy数组创建:特定数组、等差数组、随机数组.mp4
- file:05-3逻辑回归核心思想和原理.mp4
- file:03-3Anaconda命令行操作.mp4
- file:15-2泰坦尼克生还预测.mp4
- file:03-10Numpy数组矩阵运算:一元运算、二元运算与矩阵运算.mp4
- file:03-14Matplotlib数据可视化:基础绘制与设置.mp4
- file:03-11Numpy数组统计运算:常用的都在这儿了.mp4
- file:02-3研究哪些问题:分类、回归等.mp4
- file:03-5JupyterNotebook高级使用:常用魔法命令.mp4
- file:03-6Numpy基础:安装与性能对比.mp4
- file:06-12评价指标:混淆矩阵、精准率和召回率.mp4
- file:030.6-4 梯度下降.mp4
- file:023.5-5 Dropout.mp4
- file:045.8-1 AlexNet.mp4
- file:059.10-3 门控循环单元.mp4
- file:035.6-9 RMSProp_Adadelta算法.mp4
- file:054.9-4 随时间反向传播算法.mp4
- file:088.14-4 经典视觉数据集.mp4
- file:055.9-5 循环神经网络代码实现.mp4
- file:068.11-3 键值对注意力和多头注意力.mp4
- file:062.10-6 编码器-解码器网络.mp4
- file:056.9-6 RNN的长期依赖问题.mp4
- file:042.7-4 卷积层常见操作.mp4
- file:063.10-7 序列到序列模型代码实现.mp4
- folder:梗直哥3套课程合集
- folder:梗直哥–强化学习必修课:引领智能新时代
- folder:梗直哥-【机器学习必修课:经典算法与Python实战】
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