梗直哥3套课程合集 - 猎人搜索 轻松搜寻全网资源

• file:6_4-6-模型分类与选择.mp4
• file:7_9-7-SAC代码实现.mp4
• file:5_11-5-AlphaStar系统.mp4
• file:5_8-5-近端策略优化（PPO）代码实现.mp4
• file:5_6-5-Q-Learning算法.mp4
• file:3_6-3-蒙特卡洛方法和时序差分代码实现.mp4
• file:6_11-6-基于人类反馈大强化学习.mp4
• file:5_4-5-贝尔曼方程：迭代求解价值函数.mp4
• file:6_9-6-软性演员评论家算法.mp4
• file:4_4-4-马尔可夫奖励过程：懂得“想”.mp4
• file:1_11-1模仿学习.mp4
• file:5_3-5-深度学习库PyTorch的安装.mp4
• file:3_7-3-常见问题改进和扩展.mp4
• file:4_9-4-深度确定性策略梯度.mp4
• file:4_3-4-仿真环境Gym安装.mp4
• file:091.15-2 词义搜索和句意表示.mp4
• file:078.12-6 GPT模型代码实现.mp4
• file:015.4-5 回归问题.mp4
• file:082.13-4 生成对抗网络.mp4
• file:023.5-5 Dropout.mp4
• file:066.11-1 什么是注意力机制.mp4
• file:093.15-4 Hugging Face库介绍.mp4
• file:090.15-1 词嵌入和word2vec.mp4
• file:089.14-5 项目实战：猫狗大战.mp4
• file:077.12-5 Swin Transformer模型.mp4
• file:083.13-5 Diffusion扩散模型.mp4
• file:034.6-8 AdaGrad算法.mp4
• file:097.16-2 CLIP模型.mp4
• file:001.1-1 课程内容和理念.mp4
• file:099.16-4 深度学习最新发展趋势分析.mp4
• file:03-12Numpy数组arg运算和排序.mp4
• file:03-3Anaconda命令行操作.mp4
• file:03-14Matplotlib数据可视化：基础绘制与设置.mp4
• file:04-2KNN算法核心思想和原理.mp4
• file:05-5模型评价：MSE、RMSE、MAE和R方.mp4
• file:03-4JupyterNotebook基础使用.mp4
• file:06-12评价指标：混淆矩阵、精准率和召回率.mp4
• file:03-7Numpy数组创建：特定数组、等差数组、随机数组.mp4
• file:04-6超参数.mp4
• file:06-13评价指标：ROC曲线.mp4
• file:03-6Numpy基础：安装与性能对比.mp4
• file:03-1本章总览：相互关系与学习路线.mp4
• file:04-3KNN分类任务代码实现.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:04-4数据集划分：训练集与预测集.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】