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/[TutsNode.net] - Artificial Neural Networks for Business Managers in R Studio/6 - Standard Model Parameters/19 - Hyperparameters English.vtt

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/17. Extras/1. How to Choose Hyperparameters.mp4

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/5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search-en_US.srt

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/17. Extras/1. How to Choose Hyperparameters.mp4

/17. Extras/1. How to Choose Hyperparameters.srt

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/Section 4/04.22-rfe_hyperparameters.mkv

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/13 Introduction to Machine Learning/005 Hyperparameters and parameters.txt

/13 Introduction to Machine Learning/005 Hyperparameters.mp4

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/9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4

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/Section 4/04.22-rfe_hyperparameters.mkv

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/~Get Your Files Here !/7 - HyperParameters for Training Instance Segmentation Model/9 - HyperParameters for Training Instance Segmentation YOLO8 Model.mp4

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/5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search-en_US.srt

/5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4

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/5. Choosing Hyperparameters/2. Sampling Logarithmically.mp4

/5. Choosing Hyperparameters/3. Grid Search in Code-en_US.srt

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/11 Classical Q Learning/008 Q-Learning Implementation - Part Two - Table and Hyperparameters.en.srt

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/11 Classical Q Learning/016 Continuous Q-Learning - Part Five - Functions and Hyperparameters.en.srt

/11 Classical Q Learning/016 Continuous Q-Learning - Part Five - Functions and Hyperparameters.mp4

/12 Deep Q-Learning/010 DQN Manual Implementation - Part Three - Hyperparameters and Functions.en.srt

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/6. Building Convolutional NN with Keras/05. Convolution Layer Hyperparameters.mp4

/6. Building Convolutional NN with Keras/05. Convolution Layer Hyperparameters.vtt

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/08. Deep Q-Learning Implementation/18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.mp4

/08. Deep Q-Learning Implementation/8. DQN Hyperparameters Learning Rate & Replay Buffer Setup Guide (Step 6).mp4

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/11. Deep Convolutional Q-Learning Implementation/9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.mp4

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/[Lynda] Applied Machine Learning - Algorithms/Ex_Files_Machine_Learning_Algorithms/Exercise Files/01_Foundations/img/hyperparameters.png

/[Lynda] Applied Machine Learning - Algorithms/Ex_Files_Machine_Learning_Algorithms/Exercise Files/01_Foundations/img/tune_hyperparameters.png

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/[Lynda] Applied Machine Learning - Algorithms/16 - What are the key hyperparameters to consider.en.srt

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/24.9 - hyperparameters and random search/24.9 - hyperparameters and random search.mp4

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/05.Building-Convolutional-NN-with-Keras/04.Convolution-Layer-Hyperparameters.mp4

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/06 Modeling/007 K-Means Hyperparameters Documentation.html

/08 Evaluation and Optimization/007 Linear Learner Hyperparameters.html

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/[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.srt

/[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/43. Tuning Hyperparameters 3.srt

/[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/42. Tuning Hyperparameters 2.srt

/[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/11. Milestone Project 1 Supervised Learning (Classification)/15. Tuning Hyperparameters.srt

/[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/11. Milestone Project 1 Supervised Learning (Classification)/16. Tuning Hyperparameters 2.srt

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