- 【影视】 [Tutorialsplanet.NET] Udemy - Practical Machine Learning by Example in Python
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4. Foundations NumPy/6. Linear Regression Example.mp4 67.8 MB
2. Python Quick Start/12. Classes.mp4 65.5 MB
7. Foundations Pandas/2. Loading and inspecting data example.mp4 61.9 MB
3. Example Logistic Regression/3. Data analysis.mp4 61.8 MB
9. Example Sentiment Analysis/11. Transfer Learning Example.mp4 60.6 MB
6. Example Image recognition/14. Hyperparameter tuning example.mp4 55.0 MB
2. Python Quick Start/3. String formatting.mp4 54.9 MB
4. Foundations NumPy/5. Introduction to Linear Regression.mp4 54.8 MB
6. Example Image recognition/8. Model training.mp4 52.7 MB
10. Example Fraud detection/9. Making predictions.mp4 51.8 MB
3. Example Logistic Regression/8. Gradient descent.mp4 48.5 MB
9. Example Sentiment Analysis/5. Data Preparation.mp4 46.5 MB
8. Example Recommendations/8. Model definition.mp4 44.3 MB
10. Example Fraud detection/2. Data analysis.mp4 43.8 MB
3. Example Logistic Regression/12. Making predictions.mp4 42.3 MB
7. Foundations Pandas/5. Sorting and transforming data example.mp4 41.8 MB
9. Example Sentiment Analysis/12. Fine Tuning and Prediction.mp4 41.5 MB
6. Example Image recognition/2. Data analysis.mp4 40.2 MB
3. Example Logistic Regression/6. The forward function.mp4 39.7 MB
8. Example Recommendations/5. Data preparation.mp4 37.9 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R
- 收录时间:2025-02-19 文档个数:286 文档大小:14.1 GB 最近下载:2025-03-26 人气:63 磁力链接
27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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- 【影视】 [ FreeCourseWeb.com ] Udemy - Deep Learning for NLP - Part 5
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~Get Your Files Here !/2. Efficient Transformers Part 2/2. ETC (Extended Transformer Construction).mp4 183.3 MB
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~Get Your Files Here !/1. Efficient Transformers Part 1/5. Longformer.mp4 90.1 MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
04 TD Lambda/028 TD Lambda Summary.mp4 3.8 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
07 Appendix/045 Where to get Udemy coupons and FREE deep learning material.mp4 4.2 MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
04 TD Lambda/024 N-Step Methods.mp4 5.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp4 5.3 MB
01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp4 5.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
06 Deep Q-Learning/036 Deep Q-Learning Intro.mp4 6.2 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp4 6.2 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
05 Policy Gradients/033 Mountain Car Continuous Specifics.mp4 6.8 MB
02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
05 Policy Gradients/032 Continuous Action Spaces.mp4 6.9 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
06 Deep Q-Learning/043 Partially Observable MDPs.mp4 8.0 MB
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- 【影视】 [UdemyCourseDownloader] Deep Learning Prerequisites Logistic Regression in Python
- 收录时间:2018-11-30 文档个数:41 文档大小:445.1 MB 最近下载:2025-03-26 人气:106 磁力链接
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01 Start Here/001 Introduction and Outline.mp4 7.9 MB
01 Start Here/002 How to Succeed in this Course.mp4 9.2 MB
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02 Basics What is linear classification Whats the relation to neural networks/005 Linear Classification.mp4 7.9 MB
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02 Basics What is linear classification Whats the relation to neural networks/007 How do we calculate the output of a neuron logistic classifier - Theory.mp4 7.8 MB
02 Basics What is linear classification Whats the relation to neural networks/008 How do we calculate the output of a neuron logistic classifier - Code.mp4 6.1 MB
02 Basics What is linear classification Whats the relation to neural networks/009 E-Commerce Course Project Pre-Processing the Data.mp4 11.7 MB
02 Basics What is linear classification Whats the relation to neural networks/010 E-Commerce Course Project Making Predictions.mp4 6.0 MB
03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4 10.5 MB
03 Solving for the optimal weights/012 What do all these symbols mean X Y N D L J PY1X etc..mp4 6.7 MB
03 Solving for the optimal weights/013 The cross-entropy error function - Theory.mp4 4.7 MB
03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4 9.5 MB
03 Solving for the optimal weights/015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4 5.5 MB
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8. Basics Review/5. (Review) Keras Functional API.mp4 40.5 MB
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9. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
8. Basics Review/3. (Review) Keras Discussion.mp4 29.0 MB
5. Object Detection (SSD)/8. Modifying SSD to work on Video.mp4 26.0 MB
9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
6. Neural Style Transfer/2. Style Transfer Theory.mp4 20.9 MB
2. Review/1. Review of CNNs.mp4 19.4 MB
5. Object Detection (SSD)/7. SSD in Tensorflow.mp4 18.3 MB
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- 收录时间:2021-03-27 文档个数:945 文档大小:530.3 MB 最近下载:2025-03-25 人气:922 磁力链接
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