[FreeCoursesOnline Me] PacktPub Hands On Machine Learning for dotNET Developers Torrent Download LocationsAdded 1 Year+ | ||
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| Name: | [FreeCoursesOnline Me] PacktPub Hands On Machine Learning for dotNET Developers |
| Usenet: | Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial |
| Hash: | 97794EAB6014B24456E47F04CA46BDF4292D8DCC |
| Category: | Other |
| Peers: | Seeds: 12 & Leechers: 6 |
| Size: | 1.66 GB |
| Stream: | Watch Full HD Movies @ LimeMovies |
| Date: | 29 June 2020 |
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Torrent Files Size: 1.66 GB |
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[FreeCoursesOnline.Me] PacktPub - Hands-On Machine Learning for dotNET Developers 0. Websites you may like 0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url - 377 bytes 1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url - 286 bytes 3. (FTUApps.com) Download Cracked Developers Applications For Free.url - 239 bytes How you can help our Group!.txt - 208 bytes 1.Finding the Best Price on Laptops Using Price Prediction (Regression) 01.The Course Overview.mp4 - 9.43 MB 02.Demo of the Application and How to Apply Machine Learning.mp4 - 12.28 MB 03.Installing the ML.NET Model Builder.mp4 - 6.75 MB 04.Automatically Generate a Model with the ML.NET Model Builder.mp4 - 7.55 MB 05.Using the Final Model in the Desktop Application.mp4 - 16.03 MB 06.Generating the Model Using the ML.NET CLI Tool.mp4 - 6.99 MB 2.Determining Aggression in User Comments 07.Demo of the Web API and the Wikipedia Aggression Dataset.mp4 - 6.93 MB 08.Digging into the Code Learn What a Training Pipeline Is.mp4 - 14.72 MB 09.Implementing a Pipeline for the Aggression Scorer.mp4 - 17.93 MB 10.Using the Custom Model in the Web API.mp4 - 21.56 MB 3.Evaluating, Improving, and Retraining Your Model 11.Evaluating Your Model.mp4 - 17.48 MB 12.Splitting the Data into Training and Test Sets.mp4 - 7.5 MB 13.Retraining the Model with More Data.mp4 - 18.54 MB 14.Evaluating with Cross-Validation.mp4 - 15.98 MB 4.Classifying News into Subjects 15.Multiclass Classification and the UCI News Dataset.mp4 - 11.68 MB 16.Using AutoML to Find a Suitable Model.mp4 - 12.25 MB 17.Building the Pipeline and Evaluating the Performance.mp4 - 12.97 MB 18.Explore the Effect of Imbalanced Data on the Metrics.mp4 - 15.41 MB 5.Building a Recommender System 19.The Restaurant Recommender.mp4 - 7.9 MB 20.Building the Restaurant Recommendation Model.mp4 - 11.22 MB 21.Exploring Hyper Parameters to Improve the Accuracy.mp4 - 41.99 MB 6.Classifying Images Using TensorFlow 'Transfer Learning' 22.Image Classification and Our Dataset.mp4 - 5.85 MB 23.Deep Learning and Transferring Learnings from TensorFlow.mp4 - 15.32 MB 24.Training the Custom Image Classification Model.mp4 - 21.35 MB 25.Using the Trained Model in the Desktop Application.mp4 - 9.51 MB 26.Speeding Up Model Training Using the GPU.mp4 - 23.97 MB 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model 27.What ONNX Is.mp4 - 6.2 MB 28.The FER+ ONNX Model.mp4 - 16.83 MB 29.Creating Our ONNX Pipeline.mp4 - 12.92 MB 30.Detecting Emotions in Images and Webcam.mp4 - 21.56 MB 31.Saving a ML.NET Model in ONNX Format.mp4 - 9.7 MB Exercise Files 9781800205024_Code/SourceCode.zip - 1.23 GB |
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