[FreeCoursesOnline.Me] [Packt] Artificial Intelligence in 3 Hours [FCO]
File List
- 02.Exploring Unsupervised Machine Learning/0203.Mall Customers Dataset Preprocessing.mp4 132.0 MB
- 02.Exploring Unsupervised Machine Learning/0208.Cluster Analysis.mp4 123.4 MB
- 05.Working With Deep Reinforcement Learning/0509.Game Playing with the Trained Model.mp4 57.8 MB
- 01.Understanding Supervised Machine Learning/0101.The Course Overview.mp4 44.6 MB
- 01.Understanding Supervised Machine Learning/0103.Breast Cancer Dataset Exploration.mp4 39.8 MB
- 05.Working With Deep Reinforcement Learning/0510.Real World Problems Solved with Reinforcement Learning.mp4 34.8 MB
- 02.Exploring Unsupervised Machine Learning/0206.Creating K-Means Algorithm.mp4 34.1 MB
- 02.Exploring Unsupervised Machine Learning/0205.Intuition Behind K-Means Algorithm.mp4 33.8 MB
- 03.Working with Deep Learning/0302.Boston Housing Dataset Exploration.mp4 30.8 MB
- 04.Image Classification with Convolutional Neural Networks/0402.MNIST Dataset Exploration.mp4 18.4 MB
- 01.Understanding Supervised Machine Learning/0109.Model evaluation.mp4 17.4 MB
- 04.Image Classification with Convolutional Neural Networks/0403.MNIST Dataset Preprocessing.mp4 16.4 MB
- 01.Understanding Supervised Machine Learning/0110.What Is Supervised Learning.mp4 15.8 MB
- 03.Working with Deep Learning/0303.Boston Housing Dataset Preprocessing.mp4 15.4 MB
- 01.Understanding Supervised Machine Learning/0104.Breast Cancer Dataset Preprocessing.mp4 15.3 MB
- 03.Working with Deep Learning/0304.Explaining the Fully Connected Network.mp4 15.1 MB
- 04.Image Classification with Convolutional Neural Networks/0404.How Do Convolutional Neural Networks Work.mp4 13.0 MB
- 05.Working With Deep Reinforcement Learning/0502.States, Rewards, and Value.mp4 13.0 MB
- 01.Understanding Supervised Machine Learning/0102.Breast Cancer Classification.mp4 12.9 MB
- 02.Exploring Unsupervised Machine Learning/0207.Training and Evaluating the KMeans Model.mp4 11.8 MB
- 05.Working With Deep Reinforcement Learning/0505.What Is a Policy.mp4 11.6 MB
- 05.Working With Deep Reinforcement Learning/0501.Explaining What Reinforcement Learning Is.mp4 11.0 MB
- 01.Understanding Supervised Machine Learning/0107.Grid Search and Hyper Parameters.mp4 10.0 MB
- 05.Working With Deep Reinforcement Learning/0503.Explaining the Deep Q Network.mp4 10.0 MB
- 04.Image Classification with Convolutional Neural Networks/0405.Building the Model.mp4 9.5 MB
- 04.Image Classification with Convolutional Neural Networks/0409.Explaining What Tasks Can Be Solved Using CNNs.mp4 7.6 MB
- 02.Exploring Unsupervised Machine Learning/0202.Mall Customers Dataset Exploration.mp4 7.6 MB
- 03.Working with Deep Learning/0308.Model Evaluation.mp4 7.5 MB
- 01.Understanding Supervised Machine Learning/0105.Intuition Behind K-Nearest Neighbors Algorithm.mp4 7.2 MB
- 04.Image Classification with Convolutional Neural Networks/0408.Model Evaluation.mp4 7.0 MB
- 02.Exploring Unsupervised Machine Learning/0201.Customer Segmentation.mp4 6.7 MB
- 05.Working With Deep Reinforcement Learning/0504.Experience Replay.mp4 6.7 MB
- 04.Image Classification with Convolutional Neural Networks/0401.Image Classification.mp4 6.3 MB
- 03.Working with Deep Learning/0305.Building the Model.mp4 6.3 MB
- 05.Working With Deep Reinforcement Learning/0508.Training the Model.mp4 6.2 MB
- 02.Exploring Unsupervised Machine Learning/0204.Why Do We Split Dataset into Training and Testing Parts.mp4 5.9 MB
- 05.Working With Deep Reinforcement Learning/0506.Building the Model.mp4 5.7 MB
- 03.Working with Deep Learning/0307.Training the Model.mp4 5.3 MB
- 03.Working with Deep Learning/0306.Compiling the Model ( Choosing the Loss Function and Metrics).mp4 5.3 MB
- 01.Understanding Supervised Machine Learning/0108.Training the Model.mp4 4.1 MB
- 04.Image Classification with Convolutional Neural Networks/0407.Training the Model.mp4 3.5 MB
- 03.Working with Deep Learning/0301.Boston Housing - Task Explanation.mp4 3.5 MB
- 01.Understanding Supervised Machine Learning/0106.Creating the KNN Algorithm.mp4 3.1 MB
- 04.Image Classification with Convolutional Neural Networks/0406.Compiling the Model( Choosing the Loss Function and Metrics).mp4 2.7 MB
- 05.Working With Deep Reinforcement Learning/0507.Compiling the Model.mp4 1.5 MB
- Exercise Files/exercise_files.zip 976.6 KB
- FreeCoursesOnline.Me.html 108.3 KB
- FTUForum.com.html 100.4 KB
- Discuss.FTUForum.com.html 31.9 KB
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