BT种子基本信息
- 种子哈希：97794eab6014b24456e47f04ca46bdf4292d8dcc
- 文档大小：1.8 GB
- 文档个数：36个文档
- 下载次数：10881次
- 下载速度：极快
- 收录时间：2020-10-25
- 最近下载：2025-07-28
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文档列表
Exercise Files/9781800205024_Code/SourceCode.zip 1.3 GB
5.Building a Recommender System/21.Exploring Hyper Parameters to Improve the Accuracy.mp4 44.0 MB- 6.Classifying Images Using TensorFlow 'Transfer Learning'/26.Speeding Up Model Training Using the GPU.mp4 25.1 MB
- 2.Determining Aggression in User Comments/10.Using the Custom Model in the Web API.mp4 22.6 MB
- 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/30.Detecting Emotions in Images and Webcam.mp4 22.6 MB
- 6.Classifying Images Using TensorFlow 'Transfer Learning'/24.Training the Custom Image Classification Model.mp4 22.4 MB
- 3.Evaluating, Improving, and Retraining Your Model/13.Retraining the Model with More Data.mp4 19.4 MB
- 2.Determining Aggression in User Comments/09.Implementing a Pipeline for the Aggression Scorer.mp4 18.8 MB
- 3.Evaluating, Improving, and Retraining Your Model/11.Evaluating Your Model.mp4 18.3 MB
- 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/28.The FER+ ONNX Model.mp4 17.6 MB
- 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/05.Using the Final Model in the Desktop Application.mp4 16.8 MB
- 3.Evaluating, Improving, and Retraining Your Model/14.Evaluating with Cross-Validation.mp4 16.8 MB
- 4.Classifying News into Subjects/18.Explore the Effect of Imbalanced Data on the Metrics.mp4 16.2 MB
- 6.Classifying Images Using TensorFlow 'Transfer Learning'/23.Deep Learning and Transferring Learnings from TensorFlow.mp4 16.1 MB
- 2.Determining Aggression in User Comments/08.Digging into the Code Learn What a Training Pipeline Is.mp4 15.4 MB
- 4.Classifying News into Subjects/17.Building the Pipeline and Evaluating the Performance.mp4 13.6 MB
- 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/29.Creating Our ONNX Pipeline.mp4 13.6 MB
- 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/02.Demo of the Application and How to Apply Machine Learning.mp4 12.9 MB
- 4.Classifying News into Subjects/16.Using AutoML to Find a Suitable Model.mp4 12.8 MB
- 4.Classifying News into Subjects/15.Multiclass Classification and the UCI News Dataset.mp4 12.3 MB
- 5.Building a Recommender System/20.Building the Restaurant Recommendation Model.mp4 11.8 MB
- 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/31.Saving a ML.NET Model in ONNX Format.mp4 10.2 MB
- 6.Classifying Images Using TensorFlow 'Transfer Learning'/25.Using the Trained Model in the Desktop Application.mp4 10.0 MB
- 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/01.The Course Overview.mp4 9.9 MB
- 5.Building a Recommender System/19.The Restaurant Recommender.mp4 8.3 MB
- 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/04.Automatically Generate a Model with the ML.NET Model Builder.mp4 7.9 MB
- 3.Evaluating, Improving, and Retraining Your Model/12.Splitting the Data into Training and Test Sets.mp4 7.9 MB
- 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/06.Generating the Model Using the ML.NET CLI Tool.mp4 7.3 MB
- 2.Determining Aggression in User Comments/07.Demo of the Web API and the Wikipedia Aggression Dataset.mp4 7.3 MB
- 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/03.Installing the ML.NET Model Builder.mp4 7.1 MB
- 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/27.What ONNX Is.mp4 6.5 MB
- 6.Classifying Images Using TensorFlow 'Transfer Learning'/22.Image Classification and Our Dataset.mp4 6.1 MB
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