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种子名称： [FreeCoursesOnline.Me] [Packt] Artificial Intelligence in 3 Hours [FCO]
文件类型： 视频
文件数目： 45个文件
文件大小： 856.99 MB
收录时间： 2019-5-6 05:51
已经下载： 3次
资源热度： 150
最近下载： 2024-11-7 06:43

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[FreeCoursesOnline.Me] [Packt] Artificial Intelligence in 3 Hours [FCO].torrent

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