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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
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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
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