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【影视】 GetFreeCourses.Me-Udemy-Python for Data Science and Machine Learning Bootcamp

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25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB

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【影视】 [Autodesk Learning Channel] MCG - Max Creation Graph [RUS]

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08. MCG - Modeling a Baseball.mp4 107.3 MB
03. MCG - Creating a Clone Modifier - Part 2 - Rotation and Scale Offsets.mp4 68.8 MB
07. MCG - Packaging and Installing.mp4 66.5 MB
05. MCG - Using Compounds.mp4 63.5 MB
06. MCG - Object Creation.mp4 63.0 MB
04. MCG - Creating a Clone Modifier - Part 3 - UI Customization.mp4 55.2 MB
01. MCG - An introduction to Max Creation Graph.mp4 41.3 MB
02. MCG - Creating a Clone Modifier - Part 1 - Duplicates & Position Offsets.mp4 40.8 MB
HTM-MCG_pack-install.zip 2.2 MB
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【影视】 linuxtrainingacademy.com - Linux Shell Scripting. A Project-Based Approach to Learning [2019-10]

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3. User and Account Creation - Shell Scripting Project 1/2. Getting Started with Shell Scripting Naming, Permissions, Variables, Builtins..mp4 225.2 MB
5. Linux Programming Conventions - Shell Scripting Project 3/2. Advanced Standard Input, Standard Output, and Standard Error - Part II.mp4 221.4 MB
7. Transforming Data Data Processing Reporting – Shell Scripting Project 5/6. Sed.mp4 181.1 MB
4. Password Generation and Shell Script Arguments - Shell Scripting Project 2/1. Random Data, Cryptographic Hash Functions, Text and String Manipulation..mp4 85.9 MB
4. Password Generation and Shell Script Arguments - Shell Scripting Project 2/2. Positional Parameters, Arguments, for Loops, Special Parameters.mp4 76.4 MB
6. Parsing Command Line Options – Shell Scripting Project 4/10. Deleting Users – Exercise 5 – Walkthrough.mp4 76.0 MB
8. Network Scripting & Automation of Distributed Systems Shell Scripting Project 6/1. Configuring a Mini Network and Scripting for Remote Systems.mp4 73.5 MB
8. Network Scripting & Automation of Distributed Systems Shell Scripting Project 6/3. Scripting Remote Commands – Walkthrough – Part 1.mp4 63.1 MB
2. Creating a Local Linux Shell Scripting Environment/6. Exercise 1 – Walkthrough – Part II – All Users.mp4 60.4 MB
3. User and Account Creation - Shell Scripting Project 1/5. Reading Standard Input, Creating Accounts, Username Conventions, More Quoting..mp4 53.3 MB
3. User and Account Creation - Shell Scripting Project 1/3. Special Variables, Pseudocode, Command Substitution, if Statement, Conditionals..mp4 52.7 MB
3. User and Account Creation - Shell Scripting Project 1/7. Exercise 2 - Walkthrough.mp4 52.0 MB
6. Parsing Command Line Options – Shell Scripting Project 4/2. Functions.mp4 51.8 MB
4. Password Generation and Shell Script Arguments - Shell Scripting Project 2/5. Exercise 3 - Walkthrough.mp4 47.0 MB
6. Parsing Command Line Options – Shell Scripting Project 4/1. Case Statements.mp4 46.2 MB
3. User and Account Creation - Shell Scripting Project 1/4. Exit Statuses, Return Codes, String Test Conditionals, More Special Variables..mp4 39.7 MB
4. Password Generation and Shell Script Arguments - Shell Scripting Project 2/3. The while Loop, Infinite Loops, Shifting, Sleeping.mp4 33.8 MB
6. Parsing Command Line Options – Shell Scripting Project 4/7. Deleting and Disabling Linux Accounts, Part 3 of 4 (Archives with tar).mp4 33.6 MB
7. Transforming Data Data Processing Reporting – Shell Scripting Project 5/1. Cut and Awk.mp4 31.8 MB
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【影视】 [FreeCoursesOnline.Me] [Packt] Hands-On Deep Q-Learning [FCO]

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05.Create an AI with Deep Convolutional Q-Learning/0504.Build an AI for DOOM – Part 3.mp4 98.9 MB
05.Create an AI with Deep Convolutional Q-Learning/0502.Build an AI for DOOM – Part 1.mp4 77.0 MB
05.Create an AI with Deep Convolutional Q-Learning/0503.Build an AI for DOOM – Part 2.mp4 73.9 MB
03.Build Self Driving Car with Deep Q-Learning/0301.Installing PYTORCH environment.mp4 73.1 MB
01.Getting started with Reinforcement Learning/0104.Markov Decision Process.mp4 57.3 MB
01.Getting started with Reinforcement Learning/0105.Policy vs Plan and Living Penalty.mp4 55.2 MB
01.Getting started with Reinforcement Learning/0102.Reinforcement Learning Dynamics.mp4 51.7 MB
02.Fundamentals of Deep Q-Learning/0204.Acting Phase of Deep Q-Learning.mp4 45.9 MB
05.Create an AI with Deep Convolutional Q-Learning/0505.Playing with our AI in DOOM.mp4 45.8 MB
02.Fundamentals of Deep Q-Learning/0203.Learning Phase of Deep Q-Learning.mp4 44.7 MB
04.Deep Convolutional Q-Learning Intuition/0402.Deep Convolutional Q-Learning.mp4 43.5 MB
02.Fundamentals of Deep Q-Learning/0201.Q-Learning Intuition.mp4 42.7 MB
02.Fundamentals of Deep Q-Learning/0202.Temporal Difference.mp4 42.5 MB
04.Deep Convolutional Q-Learning Intuition/0401.Convolutional Neural Network.mp4 39.3 MB
03.Build Self Driving Car with Deep Q-Learning/0302.Self Driving Car – Part 1.mp4 37.8 MB
04.Deep Convolutional Q-Learning Intuition/0403.Eligibility Trace.mp4 35.7 MB
03.Build Self Driving Car with Deep Q-Learning/0304.Self Driving Car – Part 3.mp4 33.2 MB
01.Getting started with Reinforcement Learning/0101.Artificial Intelligence in a nutshell.mp4 31.2 MB
02.Fundamentals of Deep Q-Learning/0205.Experience Reply & Action Selection Policies.mp4 31.0 MB
01.Getting started with Reinforcement Learning/0103.The Bellman Equation.mp4 26.5 MB

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【影视】 Learning.to.Love.Again.2020.WEBRip.x264-ION10

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【影视】 Graias - The Cost Of Learning 02 20.08.2019.2160p.mp4

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【影视】 Lynda - Learning the JavaScript Language [AhLaN]

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5 - 4. Operators and Control Structures/26 - Conditionals - If.mp4 17.3 MB
6 - 5. Iterating with Loops/31 - For loops - Sequential.mp4 15.0 MB
4 - 3. Objects, Arrays, and More/22 - Regular expressions.mp4 14.9 MB
7 - 6. Functions/36 - More on arguments.mp4 14.4 MB
7 - 6. Functions/37 - Objects, references, and functions.mp4 14.1 MB
6 - 5. Iterating with Loops/33 - While loops.mp4 14.0 MB
5 - 4. Operators and Control Structures/28 - Terse ifs.mp4 13.3 MB
4 - 3. Objects, Arrays, and More/19 - Manipulating arrays.mp4 13.1 MB
5 - 4. Operators and Control Structures/30 - Type checking.mp4 12.5 MB
3 - 2. Variables and Types/09 - Declaring and assigning variables.mp4 12.4 MB
5 - 4. Operators and Control Structures/25 - Logical operators.mp4 12.2 MB
4 - 3. Objects, Arrays, and More/18 - Arrays.mp4 11.6 MB
2 - 1. Getting Started/07 - Our friend the text editor.mp4 11.3 MB
5 - 4. Operators and Control Structures/24 - Arithmetic operators.mp4 11.0 MB
6 - 5. Iterating with Loops/32 - For loops - Enumerative.mp4 10.8 MB
4 - 3. Objects, Arrays, and More/21 - Readability - Comments.mp4 10.6 MB
7 - 6. Functions/38 - Functions are objects.mp4 10.1 MB
5 - 4. Operators and Control Structures/27 - Conditionals - Switch.mp4 10.1 MB
7 - 6. Functions/35 - Arguments in functions.mp4 10.0 MB
4 - 3. Objects, Arrays, and More/16 - Manipulating objects.mp4 9.7 MB

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【影视】 Kendra Heart - Learning Curve - 071220.mp4

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【影视】 Graias - The Cost Of Learning 01 03.07.2019.1080pp.mp4

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【影视】 [FreeCoursesOnline.Me] [Packt] Troubleshooting Python Deep Learning [FCO]

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1. Solutions to Convolutional Neural Network Problems – Part One_/02.Concatenate Two CNNs Correctly.mp4 77.6 MB
1. Solutions to Convolutional Neural Network Problems – Part One_/01.The Course Overview.mp4 39.5 MB
6. Solving NumPy Problems_/44.Turn ND Matrix Into 1D Vector.mp4 31.5 MB
6. Solving NumPy Problems_/43.Fix load.npy Error in Python3.mp4 17.3 MB
4.Solutions to LSTM Recurrent Neural Networks Problems/27.Working with Different Lengths of Input and Output Sequences.mp4 16.4 MB
1. Solutions to Convolutional Neural Network Problems – Part One_/03.Splitting Trained Model.mp4 13.8 MB
3. Solutions to Recurrent Neural Network Problems_/19.Wrong Input - ValueError – Error When Checking Input.mp4 13.8 MB
5. Troubleshooting Models with scikit-learn_/35.Handling Missing Values.mp4 13.3 MB
4.Solutions to LSTM Recurrent Neural Networks Problems/32.How To Do Text Classification with LSTM.mp4 11.9 MB
1. Solutions to Convolutional Neural Network Problems – Part One_/06.High val_acc, But Low Accuracy in Practice.mp4 11.6 MB
3. Solutions to Recurrent Neural Network Problems_/20.Correct Text Preparation for Machine Translation.mp4 11.0 MB
5. Troubleshooting Models with scikit-learn_/37.Fixing Warning Messages.mp4 10.8 MB
2. Solutions to Convolutional Neural Network Problems – Part Two_/11.Interpreting kernel_size Notation in CNNs.mp4 10.4 MB
3. Solutions to Recurrent Neural Network Problems_/24.Preparing Data Correctly for Time Series Prediction.mp4 10.1 MB
4.Solutions to LSTM Recurrent Neural Networks Problems/26.Stacking Multiple LSTM in Keras TypeError - Call() Got an Unexpected Keyword Argument 'return_sequences'.mp4 10.1 MB
2. Solutions to Convolutional Neural Network Problems – Part Two_/13.Using Validation Accuracy.mp4 9.3 MB
5. Troubleshooting Models with scikit-learn_/36.Evaluating Deep Learning Models Using Additional Metrics.mp4 9.1 MB
2. Solutions to Convolutional Neural Network Problems – Part Two_/17.Shape Error When Training CIFAR-10 Dataset on CNN.mp4 9.1 MB
6. Solving NumPy Problems_/41.Converting a 2D Matrix to a One-Hot Encoded Matrix.mp4 9.0 MB
4.Solutions to LSTM Recurrent Neural Networks Problems/29.Using CNN-LSTM for Time Series Prediction.mp4 8.9 MB

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【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
2. Numpy (New)/3. Dot Product.mp4 27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
5. Scipy (New)/3. Convolution.mp4 22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB

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【影视】 Modern Deep Learning in Python

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Modern Deep Learning in Python/17. Appendix/4. Windows-Focused Environment Setup 2018.mp4 195.4 MB
Modern Deep Learning in Python/15. PyTorch/1. PyTorch Basics.mp4 122.5 MB
Modern Deep Learning in Python/17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
Modern Deep Learning in Python/17. Appendix/2. What's the difference between neural networks and deep learning.mp4 47.3 MB
Modern Deep Learning in Python/11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 46.1 MB
Modern Deep Learning in Python/17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
Modern Deep Learning in Python/17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
Modern Deep Learning in Python/14. Keras/3. Keras Functional API.mp4 40.5 MB
Modern Deep Learning in Python/17. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
Modern Deep Learning in Python/11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 39.2 MB
Modern Deep Learning in Python/15. PyTorch/3. PyTorch Batch Norm.mp4 35.5 MB
Modern Deep Learning in Python/15. PyTorch/2. PyTorch Dropout.mp4 34.3 MB
Modern Deep Learning in Python/17. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
Modern Deep Learning in Python/17. Appendix/7. How to Code by Yourself (part 1).mp4 25.7 MB
Modern Deep Learning in Python/8. TensorFlow/2. Building a neural network in TensorFlow.mp4 25.0 MB
Modern Deep Learning in Python/8. TensorFlow/3. What is a Session (And more).mp4 24.7 MB
Modern Deep Learning in Python/2. Review/1. Review of Basic Concepts.mp4 24.5 MB
Modern Deep Learning in Python/12. Modern Regularization Techniques/2. Dropout Regularization.mp4 23.8 MB
Modern Deep Learning in Python/7. Theano/2. Building a neural network in Theano.mp4 22.8 MB

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【影视】 Machine Learning & Data Science Foundations Masterclass

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[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/2. What Linear Algebra Is.mp4 139.5 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/3. Matrix Multiplication.mp4 135.4 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/5. Scalars.mp4 100.7 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/6. Matrix Inversion.mp4 92.9 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/6. Vectors and Vector Transposition.mp4 75.3 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/7. Norms and Unit Vectors.mp4 73.9 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/9. Matrix Tensors.mp4 50.6 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/8. Tensor Elimination.mp4 43.0 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/10. Generic Tensor Notation.mp4 41.6 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/7. Tensor Substitution.mp4 39.7 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/3. Linear Algebra Exercise.mp4 39.3 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/3. Basic Tensor Arithmetic, incl. the Hadamard Product.mp4 35.6 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/5. The Dot Product.mp4 34.5 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/5. Exercises on Matrices.mp4 31.3 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/8. Orthogonal Matrices.mp4 31.0 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/8. Basis, Orthogonal, and Orthonormal Vectors.mp4 29.1 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/4. Symmetric Matrices.mp4 25.0 MB
[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/2. Tensor Transposition.mp4 24.6 MB
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[TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/4. Tensor Reduction.mp4 19.3 MB

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【影视】 [ClubSeventeen] Stefany Kyler - Learning something new every day (2020) 1080p.mp4

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【影视】 [FreeTutorials.Us] Udemy - Deep Learning Advanced Computer Vision

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9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
7. Bonus Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
8. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 86.5 MB
8. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Basics Review/4. (Review) Keras Neural Network in Code.mp4 69.4 MB
1. Welcome/2. Outline and Perspective.mp4 64.9 MB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 63.7 MB
7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
2. Review/1. Review of CNNs.mp4 42.8 MB
9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
8. Basics Review/5. (Review) Keras Functional API.mp4 40.5 MB
3. VGG and Transfer Learning/3. Transfer Learning.mp4 40.0 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 FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. ResNet (and Inception)/1. ResNet Section Intro.mp4 23.4 MB
3. VGG and Transfer Learning/1. VGG Section Intro.mp4 22.3 MB

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【影视】 [FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python

收录时间:2021-03-23 文档个数:102 文档大小:987.8 MB 最近下载:2025-05-15 人气:803 磁力链接

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4 15.1 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

收录时间:2021-03-24 文档个数:215 文档大小:3.3 GB 最近下载:2025-05-16 人气:230 磁力链接

10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
1. Welcome/5. Warmup.mp4 65.7 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/9. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB

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