[FreeCoursesOnline.Me] [Packt] Artificial Intelligence in 3 Hours [FCO]
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2019-5-6 05:51 | 2024-5-10 13:36 | 106 | 856.99 MB | 45 |
迅雷链接
二维码链接
种子下载(838888不存储任何种子文件)
文件列表
- 01.Understanding Supervised Machine Learning/0101.The Course Overview.mp444.62MB
- 01.Understanding Supervised Machine Learning/0102.Breast Cancer Classification.mp412.87MB
- 01.Understanding Supervised Machine Learning/0103.Breast Cancer Dataset Exploration.mp439.76MB
- 01.Understanding Supervised Machine Learning/0104.Breast Cancer Dataset Preprocessing.mp415.27MB
- 01.Understanding Supervised Machine Learning/0105.Intuition Behind K-Nearest Neighbors Algorithm.mp47.22MB
- 01.Understanding Supervised Machine Learning/0106.Creating the KNN Algorithm.mp43.06MB
- 01.Understanding Supervised Machine Learning/0107.Grid Search and Hyper Parameters.mp410.01MB
- 01.Understanding Supervised Machine Learning/0108.Training the Model.mp44.05MB
- 01.Understanding Supervised Machine Learning/0109.Model evaluation.mp417.39MB
- 01.Understanding Supervised Machine Learning/0110.What Is Supervised Learning.mp415.78MB
- 02.Exploring Unsupervised Machine Learning/0201.Customer Segmentation.mp46.7MB
- 02.Exploring Unsupervised Machine Learning/0202.Mall Customers Dataset Exploration.mp47.56MB
- 02.Exploring Unsupervised Machine Learning/0203.Mall Customers Dataset Preprocessing.mp4132.04MB
- 02.Exploring Unsupervised Machine Learning/0204.Why Do We Split Dataset into Training and Testing Parts.mp45.86MB
- 02.Exploring Unsupervised Machine Learning/0205.Intuition Behind K-Means Algorithm.mp433.81MB
- 02.Exploring Unsupervised Machine Learning/0206.Creating K-Means Algorithm.mp434.06MB
- 02.Exploring Unsupervised Machine Learning/0207.Training and Evaluating the KMeans Model.mp411.76MB
- 02.Exploring Unsupervised Machine Learning/0208.Cluster Analysis.mp4123.4MB
- 03.Working with Deep Learning/0301.Boston Housing - Task Explanation.mp43.51MB
- 03.Working with Deep Learning/0302.Boston Housing Dataset Exploration.mp430.83MB
- 03.Working with Deep Learning/0303.Boston Housing Dataset Preprocessing.mp415.44MB
- 03.Working with Deep Learning/0304.Explaining the Fully Connected Network.mp415.07MB
- 03.Working with Deep Learning/0305.Building the Model.mp46.27MB
- 03.Working with Deep Learning/0306.Compiling the Model ( Choosing the Loss Function and Metrics).mp45.29MB
- 03.Working with Deep Learning/0307.Training the Model.mp45.32MB
- 03.Working with Deep Learning/0308.Model Evaluation.mp47.46MB
- 04.Image Classification with Convolutional Neural Networks/0401.Image Classification.mp46.29MB
- 04.Image Classification with Convolutional Neural Networks/0402.MNIST Dataset Exploration.mp418.4MB
- 04.Image Classification with Convolutional Neural Networks/0403.MNIST Dataset Preprocessing.mp416.37MB
- 04.Image Classification with Convolutional Neural Networks/0404.How Do Convolutional Neural Networks Work.mp413.02MB
- 04.Image Classification with Convolutional Neural Networks/0405.Building the Model.mp49.46MB
- 04.Image Classification with Convolutional Neural Networks/0406.Compiling the Model( Choosing the Loss Function and Metrics).mp42.66MB
- 04.Image Classification with Convolutional Neural Networks/0407.Training the Model.mp43.54MB
- 04.Image Classification with Convolutional Neural Networks/0408.Model Evaluation.mp46.96MB
- 04.Image Classification with Convolutional Neural Networks/0409.Explaining What Tasks Can Be Solved Using CNNs.mp47.62MB
- 05.Working With Deep Reinforcement Learning/0501.Explaining What Reinforcement Learning Is.mp410.95MB
- 05.Working With Deep Reinforcement Learning/0502.States, Rewards, and Value.mp412.98MB
- 05.Working With Deep Reinforcement Learning/0503.Explaining the Deep Q Network.mp49.97MB
- 05.Working With Deep Reinforcement Learning/0504.Experience Replay.mp46.67MB
- 05.Working With Deep Reinforcement Learning/0505.What Is a Policy.mp411.58MB
- 05.Working With Deep Reinforcement Learning/0506.Building the Model.mp45.73MB
- 05.Working With Deep Reinforcement Learning/0507.Compiling the Model.mp41.53MB
- 05.Working With Deep Reinforcement Learning/0508.Training the Model.mp46.19MB
- 05.Working With Deep Reinforcement Learning/0509.Game Playing with the Trained Model.mp457.8MB
- 05.Working With Deep Reinforcement Learning/0510.Real World Problems Solved with Reinforcement Learning.mp434.82MB
友情提示
不会用的朋友看这里
把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！
亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！
违规内容投诉邮箱：[email protected]
概述
838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题
它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息
838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪
838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统