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种子名称：
[FreeCoursesOnline.Me] PacktPub - Hands-On Machine Learning for dotNET Developers
文件类型：
视频
文件数目：
31个文件
文件大小：
436.31 MB
收录时间：
2020-11-22 21:13
已经下载：
3次
资源热度：
260
最近下载：
2024-5-28 01:21
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种子包含的文件
[FreeCoursesOnline.Me] PacktPub - Hands-On Machine Learning for dotNET Developers.torrent
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/01.The Course Overview.mp49.43MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/02.Demo of the Application and How to Apply Machine Learning.mp412.28MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/03.Installing the ML.NET Model Builder.mp46.75MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/04.Automatically Generate a Model with the ML.NET Model Builder.mp47.55MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/05.Using the Final Model in the Desktop Application.mp416.03MB
1.Finding the Best Price on Laptops Using Price Prediction (Regression)/06.Generating the Model Using the ML.NET CLI Tool.mp46.99MB
2.Determining Aggression in User Comments/07.Demo of the Web API and the Wikipedia Aggression Dataset.mp46.93MB
2.Determining Aggression in User Comments/08.Digging into the Code Learn What a Training Pipeline Is.mp414.72MB
2.Determining Aggression in User Comments/09.Implementing a Pipeline for the Aggression Scorer.mp417.93MB
2.Determining Aggression in User Comments/10.Using the Custom Model in the Web API.mp421.56MB
3.Evaluating, Improving, and Retraining Your Model/11.Evaluating Your Model.mp417.48MB
3.Evaluating, Improving, and Retraining Your Model/12.Splitting the Data into Training and Test Sets.mp47.5MB
3.Evaluating, Improving, and Retraining Your Model/13.Retraining the Model with More Data.mp418.54MB
3.Evaluating, Improving, and Retraining Your Model/14.Evaluating with Cross-Validation.mp415.98MB
4.Classifying News into Subjects/15.Multiclass Classification and the UCI News Dataset.mp411.68MB
4.Classifying News into Subjects/16.Using AutoML to Find a Suitable Model.mp412.25MB
4.Classifying News into Subjects/17.Building the Pipeline and Evaluating the Performance.mp412.97MB
4.Classifying News into Subjects/18.Explore the Effect of Imbalanced Data on the Metrics.mp415.41MB
5.Building a Recommender System/19.The Restaurant Recommender.mp47.9MB
5.Building a Recommender System/20.Building the Restaurant Recommendation Model.mp411.22MB
5.Building a Recommender System/21.Exploring Hyper Parameters to Improve the Accuracy.mp441.99MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/22.Image Classification and Our Dataset.mp45.85MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/23.Deep Learning and Transferring Learnings from TensorFlow.mp415.32MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/24.Training the Custom Image Classification Model.mp421.35MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/25.Using the Trained Model in the Desktop Application.mp49.51MB
6.Classifying Images Using TensorFlow 'Transfer Learning'/26.Speeding Up Model Training Using the GPU.mp423.97MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/27.What ONNX Is.mp46.2MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/28.The FER+ ONNX Model.mp416.83MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/29.Creating Our ONNX Pipeline.mp412.92MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/30.Detecting Emotions in Images and Webcam.mp421.56MB
7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/31.Saving a ML.NET Model in ONNX Format.mp49.7MB
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