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[Udemy] Practical AI with Python and Reinforcement Learning (07.2021)
- Date: 2026-04-05
- Size: 7.4 GB
- Files: 251
File Name
Size
01 Course Overview/001 Welcome Message.html
2.7 kB
01 Course Overview/002 Course Curriculum Overview.en.srt
16 kB
01 Course Overview/002 Course Curriculum Overview.mp4
44 MB
01 Course Overview/002 COURSE_NOTEBOOKS.zip
55 MB
01 Course Overview/003 Course Success and Overview.en.srt
12 kB
01 Course Overview/003 Course Success and Overview.mp4
42 MB
02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.en.srt
22 kB
02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4
99 MB
02 Course Set-Up and Installation Procedures/002 Note on Environment Setup.html
1.6 kB
02 Course Set-Up and Installation Procedures/003 Environment Setup Walkthrough.en.srt
17 kB
02 Course Set-Up and Installation Procedures/003 Environment Setup Walkthrough.mp4
71 MB
02 Course Set-Up and Installation Procedures/004 COURSE_NOTEBOOKS.zip
55 MB
03 Numpy Basics Overview/001 Introduction to Numpy Section.en.srt
3.1 kB
03 Numpy Basics Overview/001 Introduction to Numpy Section.mp4
11 MB
03 Numpy Basics Overview/002 NumPy Arrays.en.srt
33 kB
03 Numpy Basics Overview/002 NumPy Arrays.mp4
110 MB
03 Numpy Basics Overview/003 Numpy Operations - Part One.en.srt
17 kB
03 Numpy Basics Overview/003 Numpy Operations - Part One.mp4
46 MB
03 Numpy Basics Overview/004 Numpy Operations - Part Two.en.srt
12 kB
03 Numpy Basics Overview/004 Numpy Operations - Part Two.mp4
49 MB
03 Numpy Basics Overview/005 Numpy Exercise Overview.en.srt
2.1 kB
03 Numpy Basics Overview/005 Numpy Exercise Overview.mp4
12 MB
03 Numpy Basics Overview/006 Numpy Exercise Solutions.en.srt
11 kB
03 Numpy Basics Overview/006 Numpy Exercise Solutions.mp4
49 MB
04 Matplotlib and Visualization Overview/001 Introduction to Matplotlib.en.srt
6.9 kB
04 Matplotlib and Visualization Overview/001 Introduction to Matplotlib.mp4
22 MB
04 Matplotlib and Visualization Overview/002 Matplotlib Basics.en.srt
20 kB
04 Matplotlib and Visualization Overview/002 Matplotlib Basics.mp4
54 MB
04 Matplotlib and Visualization Overview/003 Matplotlib - Understanding the Figure Object.en.srt
12 kB
04 Matplotlib and Visualization Overview/003 Matplotlib - Understanding the Figure Object.mp4
26 MB
04 Matplotlib and Visualization Overview/004 Matplotlib - Implementing Figures and Axes.en.srt
22 kB
04 Matplotlib and Visualization Overview/004 Matplotlib - Implementing Figures and Axes.mp4
59 MB
04 Matplotlib and Visualization Overview/005 Matplotlib - Figure Parameters.en.srt
7.9 kB
04 Matplotlib and Visualization Overview/005 Matplotlib - Figure Parameters.mp4
24 MB
04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.en.srt
30 kB
04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4
96 MB
04 Matplotlib and Visualization Overview/007 Matplotlib Styling - Legends.en.srt
11 kB
04 Matplotlib and Visualization Overview/007 Matplotlib Styling - Legends.mp4
34 MB
04 Matplotlib and Visualization Overview/008 Matplotlib Styling - Colors and Styles.en.srt
22 kB
04 Matplotlib and Visualization Overview/008 Matplotlib Styling - Colors and Styles.mp4
81 MB
04 Matplotlib and Visualization Overview/009 Advanced Matplotlib Commands (Optional).en.srt
6.7 kB
04 Matplotlib and Visualization Overview/009 Advanced Matplotlib Commands (Optional).mp4
40 MB
04 Matplotlib and Visualization Overview/010 Matplotlib Exercise Questions Overview.en.srt
9.7 kB
04 Matplotlib and Visualization Overview/010 Matplotlib Exercise Questions Overview.mp4
51 MB
04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.en.srt
26 kB
04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4
123 MB
05 Machine Learning, Deep Learning, and Reinforcement Learning/001 What is Machine Learning, Deep Learning, and Artificial Intelligence_.en.srt
17 kB
05 Machine Learning, Deep Learning, and Reinforcement Learning/001 What is Machine Learning, Deep Learning, and Artificial Intelligence_.mp4
55 MB
05 Machine Learning, Deep Learning, and Reinforcement Learning/002 Supervised Machine Learning Process.en.srt
20 kB
05 Machine Learning, Deep Learning, and Reinforcement Learning/002 Supervised Machine Learning Process.mp4
72 MB
06 Pandas and Scikit-Learn Crash Course/001 Pandas and Scikit-Learn Overview.html
1.1 kB
06 Pandas and Scikit-Learn Crash Course/002 Pandas - Series Part One.en.srt
14 kB
06 Pandas and Scikit-Learn Crash Course/002 Pandas - Series Part One.mp4
39 MB
06 Pandas and Scikit-Learn Crash Course/003 Pandas - Series Part Two.en.srt
16 kB
06 Pandas and Scikit-Learn Crash Course/003 Pandas - Series Part Two.mp4
46 MB
06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.en.srt
30 kB
06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4
114 MB
06 Pandas and Scikit-Learn Crash Course/005 Pandas - DataFrames - Part Two.en.srt
14 kB
06 Pandas and Scikit-Learn Crash Course/005 Pandas - DataFrames - Part Two.mp4
54 MB
06 Pandas and Scikit-Learn Crash Course/006 Pandas - DataFrames - Part Three.en.srt
21 kB
06 Pandas and Scikit-Learn Crash Course/006 Pandas - DataFrames - Part Three.mp4
90 MB
06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.en.srt
22 kB
06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4
97 MB
06 Pandas and Scikit-Learn Crash Course/008 Scikit-Learn - Using Train-Test-Split.en.srt
18 kB
06 Pandas and Scikit-Learn Crash Course/008 Scikit-Learn - Using Train-Test-Split.mp4
60 MB
06 Pandas and Scikit-Learn Crash Course/009 Scikit-Learn - Using Metrics.en.srt
22 kB
06 Pandas and Scikit-Learn Crash Course/009 Scikit-Learn - Using Metrics.mp4
77 MB
06 Pandas and Scikit-Learn Crash Course/033 Advertising.csv
4.1 kB
07 Artificial Neural Network and TensorFlow Basics/001 Introduction to Artificial Neural Networks.en.srt
3.4 kB
07 Artificial Neural Network and TensorFlow Basics/001 Introduction to Artificial Neural Networks.mp4
9.7 MB
07 Artificial Neural Network and TensorFlow Basics/002 Perceptron Model.en.srt
16 kB
07 Artificial Neural Network and TensorFlow Basics/002 Perceptron Model.mp4
48 MB
07 Artificial Neural Network and TensorFlow Basics/003 Neural Networks.en.srt
12 kB
07 Artificial Neural Network and TensorFlow Basics/003 Neural Networks.mp4
36 MB
07 Artificial Neural Network and TensorFlow Basics/004 Activation Functions.en.srt
17 kB
07 Artificial Neural Network and TensorFlow Basics/004 Activation Functions.mp4
62 MB
07 Artificial Neural Network and TensorFlow Basics/005 Multi-Class Classification Considerations.en.srt
17 kB
07 Artificial Neural Network and TensorFlow Basics/005 Multi-Class Classification Considerations.mp4
46 MB
07 Artificial Neural Network and TensorFlow Basics/006 Cost Functions and Gradient Descent.en.srt
29 kB
07 Artificial Neural Network and TensorFlow Basics/006 Cost Functions and Gradient Descent.mp4
76 MB
07 Artificial Neural Network and TensorFlow Basics/007 Backpropagation.en.srt
22 kB
07 Artificial Neural Network and TensorFlow Basics/007 Backpropagation.mp4
58 MB
07 Artificial Neural Network and TensorFlow Basics/008 TensorFlow vs. Keras Explained.en.srt
3.2 kB
07 Artificial Neural Network and TensorFlow Basics/008 TensorFlow vs. Keras Explained.mp4
10 MB
07 Artificial Neural Network and TensorFlow Basics/009 Keras Syntax - Preparing the Data.en.srt
16 kB
07 Artificial Neural Network and TensorFlow Basics/009 Keras Syntax - Preparing the Data.mp4
50 MB
07 Artificial Neural Network and TensorFlow Basics/010 Keras Syntax - Creating and Training the Model.en.srt
21 kB
07 Artificial Neural Network and TensorFlow Basics/010 Keras Syntax - Creating and Training the Model.mp4
84 MB
07 Artificial Neural Network and TensorFlow Basics/011 Keras Syntax - Model Evaluation.en.srt
19 kB
07 Artificial Neural Network and TensorFlow Basics/011 Keras Syntax - Model Evaluation.mp4
65 MB
07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.en.srt
28 kB
07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4
137 MB
07 Artificial Neural Network and TensorFlow Basics/013 Keras Regression - EDA Continued.en.srt
20 kB
07 Artificial Neural Network and TensorFlow Basics/013 Keras Regression - EDA Continued.mp4
76 MB
07 Artificial Neural Network and TensorFlow Basics/014 Keras Regression - Data Preprocessing and Model Creation.en.srt
13 kB
07 Artificial Neural Network and TensorFlow Basics/014 Keras Regression - Data Preprocessing and Model Creation.mp4
47 MB
07 Artificial Neural Network and TensorFlow Basics/015 Keras Regression - Model Evaluation and Predictions.en.srt
17 kB
07 Artificial Neural Network and TensorFlow Basics/015 Keras Regression - Model Evaluation and Predictions.mp4
69 MB
07 Artificial Neural Network and TensorFlow Basics/016 Keras Classification - EDA and Preprocessing.en.srt
12 kB
07 Artificial Neural Network and TensorFlow Basics/016 Keras Classification - EDA and Preprocessing.mp4
56 MB
07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.en.srt
25 kB
07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4
111 MB
07 Artificial Neural Network and TensorFlow Basics/018 Keras Classification - Overview of Project Options.en.srt
2.6 kB
07 Artificial Neural Network and TensorFlow Basics/018 Keras Classification - Overview of Project Options.mp4
7.9 MB
07 Artificial Neural Network and TensorFlow Basics/019 Keras Project Notebook Exercise Overview.en.srt
13 kB
07 Artificial Neural Network and TensorFlow Basics/019 Keras Project Notebook Exercise Overview.mp4
81 MB
07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.en.srt
30 kB
07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4
144 MB
07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.en.srt
22 kB
07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4
97 MB
07 Artificial Neural Network and TensorFlow Basics/022 Keras Project Solutions - Dealing with Missing Data - Part Two.en.srt
19 kB
07 Artificial Neural Network and TensorFlow Basics/022 Keras Project Solutions - Dealing with Missing Data - Part Two.mp4
85 MB
07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.en.srt
27 kB
07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4
125 MB
07 Artificial Neural Network and TensorFlow Basics/024 Keras Project Solutions - Data Preprocessing.en.srt
5.5 kB
07 Artificial Neural Network and TensorFlow Basics/024 Keras Project Solutions - Data Preprocessing.mp4
24 MB
07 Artificial Neural Network and TensorFlow Basics/025 Keras Project Solutions- Creating and Training the Model.en.srt
6.1 kB
07 Artificial Neural Network and TensorFlow Basics/025 Keras Project Solutions- Creating and Training the Model.mp4
30 MB
07 Artificial Neural Network and TensorFlow Basics/026 Keras Project Solutions - Model Evaluation.en.srt
15 kB
07 Artificial Neural Network and TensorFlow Basics/026 Keras Project Solutions - Model Evaluation.mp4
63 MB
07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.en.srt
31 kB
07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4
144 MB
08 Convolutional Neural Networks with TensorFlow/001 Convolutional Neural Networks Section Overview.en.srt
2.7 kB
08 Convolutional Neural Networks with TensorFlow/001 Convolutional Neural Networks Section Overview.mp4
7.5 MB
08 Convolutional Neural Networks with TensorFlow/002 Image Filters and Kernels.en.srt
19 kB
08 Convolutional Neural Networks with TensorFlow/002 Image Filters and Kernels.mp4
72 MB
08 Convolutional Neural Networks with TensorFlow/003 Convolutional Layers.en.srt
22 kB
08 Convolutional Neural Networks with TensorFlow/003 Convolutional Layers.mp4
58 MB
08 Convolutional Neural Networks with TensorFlow/004 Pooling Layers.en.srt
11 kB
08 Convolutional Neural Networks with TensorFlow/004 Pooling Layers.mp4
28 MB
08 Convolutional Neural Networks with TensorFlow/005 MNIST Data Set Overview.en.srt
7.7 kB
08 Convolutional Neural Networks with TensorFlow/005 MNIST Data Set Overview.mp4
25 MB
08 Convolutional Neural Networks with TensorFlow/006 CNN on MNIST - The Data.en.srt
19 kB
08 Convolutional Neural Networks with TensorFlow/006 CNN on MNIST - The Data.mp4
60 MB
08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.en.srt
26 kB
08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4
99 MB
08 Convolutional Neural Networks with TensorFlow/008 CNN on MNIST - Model Evaluation.en.srt
10 kB
08 Convolutional Neural Networks with TensorFlow/008 CNN on MNIST - Model Evaluation.mp4
38 MB
08 Convolutional Neural Networks with TensorFlow/009 CNN on CIFAR-10 - The Data.en.srt
18 kB
08 Convolutional Neural Networks with TensorFlow/009 CNN on CIFAR-10 - The Data.mp4
64 MB
08 Convolutional Neural Networks with TensorFlow/010 CNN on CIFAR-10 - Evaluating the Model.en.srt
11 kB
08 Convolutional Neural Networks with TensorFlow/010 CNN on CIFAR-10 - Evaluating the Model.mp4
45 MB
08 Convolutional Neural Networks with TensorFlow/011 Downloading Data Set for Real Image Lectures.en.srt
9.0 kB
08 Convolutional Neural Networks with TensorFlow/011 Downloading Data Set for Real Image Lectures.mp4
28 MB
08 Convolutional Neural Networks with TensorFlow/012 CNN on Real Image Files - Reading in the Data.en.srt
22 kB
08 Convolutional Neural Networks with TensorFlow/012 CNN on Real Image Files - Reading in the Data.mp4
80 MB
08 Convolutional Neural Networks with TensorFlow/013 CNN on Real Image Files - Data Generation.en.srt
24 kB
08 Convolutional Neural Networks with TensorFlow/013 CNN on Real Image Files - Data Generation.mp4
88 MB
08 Convolutional Neural Networks with TensorFlow/014 CNN on Real Image Files - Creating the Model.en.srt
21 kB
08 Convolutional Neural Networks with TensorFlow/014 CNN on Real Image Files - Creating the Model.mp4
90 MB
08 Convolutional Neural Networks with TensorFlow/015 CNN on Real Image Files - Model Evaluation.en.srt
13 kB
08 Convolutional Neural Networks with TensorFlow/015 CNN on Real Image Files - Model Evaluation.mp4
47 MB
08 Convolutional Neural Networks with TensorFlow/016 CNN Exercise Project Overview.en.srt
4.0 kB
08 Convolutional Neural Networks with TensorFlow/016 CNN Exercise Project Overview.mp4
18 MB
08 Convolutional Neural Networks with TensorFlow/017 CNN Exercise Project Solutions.en.srt
13 kB
08 Convolutional Neural Networks with TensorFlow/017 CNN Exercise Project Solutions.mp4
56 MB
08 Convolutional Neural Networks with TensorFlow/external-assets-links.txt
180 B
09 Reinforcement Learning - Core Concepts/001 Overview of Core Concepts for Reinforcement Learning Section.en.srt
2.8 kB
09 Reinforcement Learning - Core Concepts/001 Overview of Core Concepts for Reinforcement Learning Section.mp4
11 MB
09 Reinforcement Learning - Core Concepts/002 Agents, Environments, and Policy.en.srt
19 kB
09 Reinforcement Learning - Core Concepts/002 Agents, Environments, and Policy.mp4
62 MB
09 Reinforcement Learning - Core Concepts/003 Rewards, Discount Factors, and Bellman Equation.en.srt
20 kB
09 Reinforcement Learning - Core Concepts/003 Rewards, Discount Factors, and Bellman Equation.mp4
57 MB
09 Reinforcement Learning - Core Concepts/004 Deterministic vs. Stochastic Processes.en.srt
8.1 kB
09 Reinforcement Learning - Core Concepts/004 Deterministic vs. Stochastic Processes.mp4
27 MB
09 Reinforcement Learning - Core Concepts/005 Tabular Reinforcement Learning.html
1.1 kB
10 Open AI Gym Overview/001 Introduction to OpenAI Gym Section.en.srt
1.6 kB
10 Open AI Gym Overview/001 Introduction to OpenAI Gym Section.mp4
6.1 MB
10 Open AI Gym Overview/002 OpenAI Overview and History.en.srt
18 kB
10 Open AI Gym Overview/002 OpenAI Overview and History.mp4
70 MB
10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.en.srt
23 kB
10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4
146 MB
10 Open AI Gym Overview/004 OpenAI Gym - Environment Key Ideas.en.srt
14 kB
10 Open AI Gym Overview/004 OpenAI Gym - Environment Key Ideas.mp4
37 MB
10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.en.srt
44 kB
10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4
138 MB
10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.en.srt
32 kB
10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4
116 MB
11 Classical Q Learning/001 Introduction to Classical Q-Learning Overview.en.srt
6.4 kB
11 Classical Q Learning/001 Introduction to Classical Q-Learning Overview.mp4
23 MB
11 Classical Q Learning/002 History of Q-Learning.en.srt
5.8 kB
11 Classical Q Learning/002 History of Q-Learning.mp4
27 MB
11 Classical Q Learning/003 Q-Learning Theory - Part One - Table Intuition.en.srt
23 kB
11 Classical Q Learning/003 Q-Learning Theory - Part One - Table Intuition.mp4
78 MB
11 Classical Q Learning/004 Q-Learning Theory - Part Two - Q Target Equation.en.srt
17 kB
11 Classical Q Learning/004 Q-Learning Theory - Part Two - Q Target Equation.mp4
54 MB
11 Classical Q Learning/005 Q-Learning Theory - Part Three - Q-Update Equation.en.srt
12 kB
11 Classical Q Learning/005 Q-Learning Theory - Part Three - Q-Update Equation.mp4
38 MB
11 Classical Q Learning/006 Q-Learning Theory - Part Four - Programmatic Q Updates.en.srt
15 kB
11 Classical Q Learning/006 Q-Learning Theory - Part Four - Programmatic Q Updates.mp4
58 MB
11 Classical Q Learning/007 Q-Learning Implementation - Part One - Environment Setup.en.srt
24 kB
11 Classical Q Learning/007 Q-Learning Implementation - Part One - Environment Setup.mp4
88 MB
11 Classical Q Learning/008 Q-Learning Implementation - Part Two - Table and Hyperparameters.en.srt
17 kB
11 Classical Q Learning/008 Q-Learning Implementation - Part Two - Table and Hyperparameters.mp4
43 MB
11 Classical Q Learning/009 Q-Learning Implementation - Part Three - Update Functions.en.srt
26 kB
11 Classical Q Learning/009 Q-Learning Implementation - Part Three - Update Functions.mp4
93 MB
11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.en.srt
27 kB
11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4
107 MB
11 Classical Q Learning/011 Q-Learning Implementation - Part Five - Visualization and Utilization.en.srt
16 kB
11 Classical Q Learning/011 Q-Learning Implementation - Part Five - Visualization and Utilization.mp4
57 MB
11 Classical Q Learning/012 Continuous Q-Learning Theory - Part One - Environment Setup.en.srt
21 kB
11 Classical Q Learning/012 Continuous Q-Learning Theory - Part One - Environment Setup.mp4
54 MB
11 Classical Q Learning/013 Continuous Q-Learning Theory - Part Two- Q-Table Shape.en.srt
26 kB
11 Classical Q Learning/013 Continuous Q-Learning Theory - Part Two- Q-Table Shape.mp4
86 MB
11 Classical Q Learning/014 Continuous Q-Learning Theory - Part Three - Discretization Theory.en.srt
7.8 kB
11 Classical Q Learning/014 Continuous Q-Learning Theory - Part Three - Discretization Theory.mp4
25 MB
11 Classical Q Learning/015 Continuous Q-Learning - Part Four - Discretization Implementation.en.srt
27 kB
11 Classical Q Learning/015 Continuous Q-Learning - Part Four - Discretization Implementation.mp4
86 MB
11 Classical Q Learning/016 Continuous Q-Learning - Part Five - Functions and Hyperparameters.en.srt
16 kB
11 Classical Q Learning/016 Continuous Q-Learning - Part Five - Functions and Hyperparameters.mp4
45 MB
11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.en.srt
32 kB
11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4
109 MB
11 Classical Q Learning/018 Q-Learning Exercise Project.en.srt
12 kB
11 Classical Q Learning/018 Q-Learning Exercise Project.mp4
66 MB
11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.en.srt
34 kB
11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4
177 MB
12 Deep Q-Learning/001 DQN Section Overview.en.srt
3.1 kB
12 Deep Q-Learning/001 DQN Section Overview.mp4
10 MB
12 Deep Q-Learning/002 History of DQN.en.srt
6.9 kB
12 Deep Q-Learning/002 History of DQN.mp4
29 MB
12 Deep Q-Learning/003 DQN Theory and Intuition - Part One - Review of Core RL Ideas.en.srt
7.4 kB
12 Deep Q-Learning/003 DQN Theory and Intuition - Part One - Review of Core RL Ideas.mp4
24 MB
12 Deep Q-Learning/004 DQN Theory and Intuition - Part Two - Neural Networks for RL.en.srt
17 kB
12 Deep Q-Learning/004 DQN Theory and Intuition - Part Two - Neural Networks for RL.mp4
46 MB
12 Deep Q-Learning/005 DQN Theory and Intuition - Part Three - Feedback and Function Approximation.en.srt
31 kB
12 Deep Q-Learning/005 DQN Theory and Intuition - Part Three - Feedback and Function Approximation.mp4
88 MB
12 Deep Q-Learning/006 DQN Theory and Intuition - Part Four - Experience Replay.en.srt
30 kB
12 Deep Q-Learning/006 DQN Theory and Intuition - Part Four - Experience Replay.mp4
96 MB
12 Deep Q-Learning/007 DQN Theory and Intuition - Part Five - Mapping Key Ideas to Code.en.srt
24 kB
12 Deep Q-Learning/007 DQN Theory and Intuition - Part Five - Mapping Key Ideas to Code.mp4
82 MB
12 Deep Q-Learning/008 DQN Manual Implementation - Part One - Imports and Environment.en.srt
7.9 kB
12 Deep Q-Learning/008 DQN Manual Implementation - Part One - Imports and Environment.mp4
21 MB
12 Deep Q-Learning/009 DQN Manual Implementation - Part Two - Artificial Neural Network.en.srt
12 kB
12 Deep Q-Learning/009 DQN Manual Implementation - Part Two - Artificial Neural Network.mp4
32 MB
12 Deep Q-Learning/010 DQN Manual Implementation - Part Three - Hyperparameters and Functions.en.srt
28 kB
12 Deep Q-Learning/010 DQN Manual Implementation - Part Three - Hyperparameters and Functions.mp4
85 MB
12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.en.srt
26 kB
12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4
107 MB
12 Deep Q-Learning/012 DQN - Keras-RL2 - Part One - Overview.en.srt
12 kB
12 Deep Q-Learning/012 DQN - Keras-RL2 - Part One - Overview.mp4
54 MB
12 Deep Q-Learning/013 DQN - Keras-RL2 - Part Two - Imports and Environment.en.srt
5.0 kB
12 Deep Q-Learning/013 DQN - Keras-RL2 - Part Two - Imports and Environment.mp4
14 MB
12 Deep Q-Learning/014 DQN - Keras-RL2 - Part Three - Creating the ANN.en.srt
9.0 kB
12 Deep Q-Learning/014 DQN - Keras-RL2 - Part Three - Creating the ANN.mp4
26 MB
12 Deep Q-Learning/015 DQN - Keras-RL2 - Part Four - DQN Agent.en.srt
23 kB
12 Deep Q-Learning/015 DQN - Keras-RL2 - Part Four - DQN Agent.mp4
84 MB
12 Deep Q-Learning/016 DQN - Exercise Overview.en.srt
5.9 kB
12 Deep Q-Learning/016 DQN - Exercise Overview.mp4
28 MB
12 Deep Q-Learning/017 DQN - Exercise Solutions.en.srt
16 kB
12 Deep Q-Learning/017 DQN - Exercise Solutions.mp4
62 MB
12 Deep Q-Learning/110 DQNNaturePaper.pdf
4.4 MB