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【影视】 Modern Reinforcement Learning- Deep Q Learning in PyTorch

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Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/018 Analyzing the Paper.mp4 292.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/031 Analyzing the Paper.mp4 191.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/038 Consolidating Our Code Base for Maximum Extensability.mp4 176.9 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/033 Analyzing the Paper.mp4 140.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/009 Temporal Difference Learning.mp4 135.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/010 Dealing with Continuous State Spaces with Deep Neural Networks.mp4 110.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/01 Introduction/003 How to Succeed in this Course.mp4 110.3 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/019 How to Modify the OpenAI Gym Atari Environments.mp4 85.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/030 Coding the Deep Q Agent Step 5 - The Main Loop and Analyzing the Performance.mp4 76.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/035 Coding the Dueling Deep Q Learning Agent and Analyzing Performance.mp4 74.0 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/025 How to Code the Deep Q Network.mp4 69.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/024 How to Code the Agents Memory.mp4 64.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/005 Markov Decision Processes.mp4 63.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.mp4 63.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/032 Coding the Double Q Learning Agent and Analyzing Performance.mp4 61.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/004 Agents Environments and Actions.mp4 60.6 MB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deep Learning- Recurrent Neural Networks in Python (Updated 8-2019).zip

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【压缩文件】 [FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery

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【影视】 Learning REST APIs

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[TutsNode.net] - Learning REST APIs/01 - Introduction/01 - Welcome.mp4 44.6 MB
[TutsNode.net] - Learning REST APIs/02 - 1. REST API Representational State Transfer Application Programming Interface/02 - What is a REST API.mp4 18.5 MB
[TutsNode.net] - Learning REST APIs/02 - 1. REST API Representational State Transfer Application Programming Interface/01 - The RESTful librarian.mp4 16.4 MB
[TutsNode.net] - Learning REST APIs/03 - 2. Request/04 - Methods (Verbs).mp4 16.1 MB
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[TutsNode.net] - Learning REST APIs/02 - 1. REST API Representational State Transfer Application Programming Interface/06 - Who or what interacts with REST APIs.mp4 15.5 MB
[TutsNode.net] - Learning REST APIs/02 - 1. REST API Representational State Transfer Application Programming Interface/07 - Tools to see REST API in action.mp4 15.3 MB
[TutsNode.net] - Learning REST APIs/03 - 2. Request/02 - Discovery.mp4 15.0 MB
[TutsNode.net] - Learning REST APIs/02 - 1. REST API Representational State Transfer Application Programming Interface/03 - Sidebar URL vs. URI.mp4 14.7 MB
[TutsNode.net] - Learning REST APIs/05 - 4. RequestResponse Pairs/05 - DELETE.mp4 14.2 MB
[TutsNode.net] - Learning REST APIs/03 - 2. Request/01 - Anatomy of a REST request.mp4 13.0 MB
[TutsNode.net] - Learning REST APIs/05 - 4. RequestResponse Pairs/03 - POST.mp4 12.0 MB
[TutsNode.net] - Learning REST APIs/03 - 2. Request/03 - Resource.mp4 9.9 MB
[TutsNode.net] - Learning REST APIs/02 - 1. REST API Representational State Transfer Application Programming Interface/04 - The six constraints of REST.mp4 9.7 MB
[TutsNode.net] - Learning REST APIs/02 - 1. REST API Representational State Transfer Application Programming Interface/05 - How REST relates to HTTP.mp4 9.6 MB
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【压缩文件】 Learning Lightroom CC Classic in 2020

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【影视】 [FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

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9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
4. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Return of the Multi-Armed Bandit/7. Bayesian Thompson Sampling.mp4 54.4 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
1. Introduction and Outline/2. What is Reinforcement Learning.mp4 23.0 MB
4. Markov Decision Proccesses/5. Value Function Introduction.mp4 20.7 MB
9. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
9. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
8. Approximation Methods/9. Course Summary and Next Steps.mp4 13.9 MB
3. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4 13.3 MB
5. Dynamic Programming/3. Iterative Policy Evaluation in Code.mp4 12.7 MB
5. Dynamic Programming/2. Gridworld in Code.mp4 12.0 MB
8. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4 11.1 MB
2. Return of the Multi-Armed Bandit/8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB

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【压缩文件】 [CourseClub.Me] Coursera - Machine Learning on Google Cloud Specialization (Google Cloud Training)

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10 Standard Deviation/001 Mean, Median, Mode and Standard Deviation.mp4 281.0 MB
05 Eigen Values and Eigen Vectors/001 A Brief Lecture on Eigen Values and Eigen Vectors.mp4 160.7 MB
12 Introductions to ODE's and PDE's/001 A Brief Discussion of ODE's and PDE's.mp4 150.6 MB
07 Probability and Statistics/002 A Brief Introduction About Probability.mp4 146.8 MB
09 Pi Chart and Bar Graph/001 A Detail Lecture on Pi Chart and Bar Graph.mp4 111.9 MB
08 Permutations and Combinations/001 A Detailed Lecture on Permutations and Combinations.mp4 110.3 MB
07 Probability and Statistics/001 Sample Space and Events.mp4 108.2 MB
04 Vector Spaces/001 Defining Vector Space and Linear Combination.mp4 100.2 MB
06 Sets and Venn Diagram/001 Introduction to Sets.mp4 99.9 MB
03 Gauss's Elimination Method/002 Gauss's Elimination Method and Rank of a Matrix.mp4 96.5 MB
09 Pi Chart and Bar Graph/002 Line Graph and Histogram.mp4 88.9 MB
11 Types of Distributions/001 Poison, Gamma and Chi Squared Distributions.mp4 72.6 MB
05 Eigen Values and Eigen Vectors/002 Gram's Schmidt Process.mp4 58.9 MB
01 Introduction to Matrix/003 Symmetric and Skew Symmetric Matrix.mp4 58.9 MB
01 Introduction to Matrix/004 General Operations in Matrix.mp4 58.4 MB
06 Sets and Venn Diagram/002 Venn Diagram.mp4 57.7 MB
08 Permutations and Combinations/002 Permutations and Combinations Examples.mp4 39.5 MB
01 Introduction to Matrix/001 Matrix and Order of a Matrix.mp4 31.6 MB
01 Introduction to Matrix/002 Types of Matrix.mp4 29.8 MB
02 Solution of Matrix/003 Echelon and Reduce Echelon Form of Matrix.mp4 27.3 MB

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【影视】 Linkedin Learning Machine Learning With Python-K-Means Clustering

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3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.mp4 31.2 MB
2. Understanding K-Means Clustering/3. Choosing the right number of clusters.mp4 26.6 MB
3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.mp4 18.9 MB
3. Segmenting Data with K-Means Clustering/3. How to find the right number of clusters in Python.mp4 18.3 MB
2. Understanding K-Means Clustering/1. What is clustering.mp4 16.9 MB
3. Segmenting Data with K-Means Clustering/2. How to evaluate and visualize clusters in Python.mp4 14.2 MB
2. Understanding K-Means Clustering/2. What is k-means clustering.mp4 11.0 MB
2. Understanding K-Means Clustering/4. Why and when to use k-means clustering.mp4 9.4 MB
1. Introduction/4. Using the exercise files.mp4 6.2 MB
4. Conclusion/1. Next steps.mp4 4.7 MB
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1. Introduction/3. The tools you need.mp4 3.2 MB
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