Udemy Practical AI with Python and Reinforcement Learning 07 2021

Udemy Practical AI with Python and Reinforcement Learning 07 2021

Name	[Udemy] Practical AI with Python and Reinforcement Learning (07.2021)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	7.9 GB
Total Files	251
Hash	3426BA095939B8A8E66D210A56DB7264A19AA61B

/01 Course Overview/
001 Welcome Message.html	2.8 KB
002 Course Curriculum Overview.en.srt	16.2 KB
002 Course Curriculum Overview.mp4	46.1 MB
002 COURSE_NOTEBOOKS.zip	58.0 MB
003 Course Success and Overview.en.srt	12.3 KB
003 Course Success and Overview.mp4	44.1 MB
/02 Course Set-Up and Installation Procedures/
001 Anaconda and Jupyter Notebook Install and Setup.en.srt	22.9 KB
001 Anaconda and Jupyter Notebook Install and Setup.mp4	103.6 MB
002 Note on Environment Setup.html	1.6 KB
003 Environment Setup Walkthrough.en.srt	17.8 KB
003 Environment Setup Walkthrough.mp4	74.7 MB
004 COURSE_NOTEBOOKS.zip	58.0 MB
/03 Numpy Basics Overview/
001 Introduction to Numpy Section.en.srt	3.2 KB
001 Introduction to Numpy Section.mp4	11.8 MB
002 NumPy Arrays.en.srt	33.9 KB
002 NumPy Arrays.mp4	115.0 MB
003 Numpy Operations - Part One.en.srt	17.3 KB
003 Numpy Operations - Part One.mp4	48.6 MB
004 Numpy Operations - Part Two.en.srt	12.8 KB
004 Numpy Operations - Part Two.mp4	51.0 MB
005 Numpy Exercise Overview.en.srt	2.2 KB
005 Numpy Exercise Overview.mp4	12.1 MB
006 Numpy Exercise Solutions.en.srt	11.6 KB
006 Numpy Exercise Solutions.mp4	50.9 MB
/04 Matplotlib and Visualization Overview/
001 Introduction to Matplotlib.en.srt	7.1 KB
001 Introduction to Matplotlib.mp4	22.6 MB
002 Matplotlib Basics.en.srt	20.9 KB
002 Matplotlib Basics.mp4	56.2 MB
003 Matplotlib - Understanding the Figure Object.en.srt	12.3 KB
003 Matplotlib - Understanding the Figure Object.mp4	27.1 MB
004 Matplotlib - Implementing Figures and Axes.en.srt	22.3 KB
004 Matplotlib - Implementing Figures and Axes.mp4	61.9 MB
005 Matplotlib - Figure Parameters.en.srt	8.1 KB
005 Matplotlib - Figure Parameters.mp4	24.9 MB
006 Matplotlib - Subplots Functionality.en.srt	30.4 KB
006 Matplotlib - Subplots Functionality.mp4	100.9 MB
007 Matplotlib Styling - Legends.en.srt	11.0 KB
007 Matplotlib Styling - Legends.mp4	35.7 MB
008 Matplotlib Styling - Colors and Styles.en.srt	22.4 KB
008 Matplotlib Styling - Colors and Styles.mp4	85.1 MB
009 Advanced Matplotlib Commands (Optional).en.srt	6.9 KB
009 Advanced Matplotlib Commands (Optional).mp4	42.4 MB
010 Matplotlib Exercise Questions Overview.en.srt	9.9 KB
010 Matplotlib Exercise Questions Overview.mp4	53.2 MB
011 Matplotlib Exercise Questions - Solutions.en.srt	26.2 KB
011 Matplotlib Exercise Questions - Solutions.mp4	129.1 MB
/05 Machine Learning, Deep Learning, and Reinforcement Learning/
001 What is Machine Learning, Deep Learning, and Artificial Intelligence_.en.srt	17.4 KB
001 What is Machine Learning, Deep Learning, and Artificial Intelligence_.mp4	57.3 MB
002 Supervised Machine Learning Process.en.srt	20.9 KB
002 Supervised Machine Learning Process.mp4	75.2 MB
/06 Pandas and Scikit-Learn Crash Course/
001 Pandas and Scikit-Learn Overview.html	1.1 KB
002 Pandas - Series Part One.en.srt	14.2 KB
002 Pandas - Series Part One.mp4	40.5 MB
003 Pandas - Series Part Two.en.srt	16.3 KB
003 Pandas - Series Part Two.mp4	47.7 MB
004 Pandas - DataFrames - Part One.en.srt	30.8 KB
004 Pandas - DataFrames - Part One.mp4	120.0 MB
005 Pandas - DataFrames - Part Two.en.srt	14.1 KB
005 Pandas - DataFrames - Part Two.mp4	56.7 MB
006 Pandas - DataFrames - Part Three.en.srt	21.9 KB
006 Pandas - DataFrames - Part Three.mp4	93.9 MB
007 Pandas - DataFrames - Part Four.en.srt	22.4 KB
007 Pandas - DataFrames - Part Four.mp4	101.4 MB
008 Scikit-Learn - Using Train-Test-Split.en.srt	18.5 KB
008 Scikit-Learn - Using Train-Test-Split.mp4	63.4 MB
009 Scikit-Learn - Using Metrics.en.srt	23.0 KB
009 Scikit-Learn - Using Metrics.mp4	81.0 MB
033 Advertising.csv	4.2 KB
/07 Artificial Neural Network and TensorFlow Basics/
001 Introduction to Artificial Neural Networks.en.srt	3.5 KB
001 Introduction to Artificial Neural Networks.mp4	10.1 MB
002 Perceptron Model.en.srt	16.4 KB
002 Perceptron Model.mp4	50.3 MB
003 Neural Networks.en.srt	11.9 KB
003 Neural Networks.mp4	37.7 MB
004 Activation Functions.en.srt	17.8 KB
004 Activation Functions.mp4	65.6 MB
005 Multi-Class Classification Considerations.en.srt	17.2 KB
005 Multi-Class Classification Considerations.mp4	48.3 MB
006 Cost Functions and Gradient Descent.en.srt	29.4 KB
006 Cost Functions and Gradient Descent.mp4	79.7 MB
007 Backpropagation.en.srt	22.4 KB
007 Backpropagation.mp4	60.8 MB
008 TensorFlow vs. Keras Explained.en.srt	3.2 KB
008 TensorFlow vs. Keras Explained.mp4	10.9 MB
009 Keras Syntax - Preparing the Data.en.srt	16.6 KB
009 Keras Syntax - Preparing the Data.mp4	52.8 MB
010 Keras Syntax - Creating and Training the Model.en.srt	22.0 KB
010 Keras Syntax - Creating and Training the Model.mp4	88.4 MB
011 Keras Syntax - Model Evaluation.en.srt	19.0 KB
011 Keras Syntax - Model Evaluation.mp4	67.9 MB
012 Keras Regression - Exploratory Data Analysis.en.srt	28.7 KB
012 Keras Regression - Exploratory Data Analysis.mp4	143.6 MB
013 Keras Regression - EDA Continued.en.srt	20.4 KB
013 Keras Regression - EDA Continued.mp4	80.0 MB
014 Keras Regression - Data Preprocessing and Model Creation.en.srt	13.0 KB
014 Keras Regression - Data Preprocessing and Model Creation.mp4	49.3 MB
015 Keras Regression - Model Evaluation and Predictions.en.srt	17.3 KB
015 Keras Regression - Model Evaluation and Predictions.mp4	72.3 MB
016 Keras Classification - EDA and Preprocessing.en.srt	12.5 KB
016 Keras Classification - EDA and Preprocessing.mp4	58.9 MB
017 Keras Classification - Overfitting and Evaluation.en.srt	25.9 KB
017 Keras Classification - Overfitting and Evaluation.mp4	116.6 MB
018 Keras Classification - Overview of Project Options.en.srt	2.7 KB
018 Keras Classification - Overview of Project Options.mp4	8.2 MB
019 Keras Project Notebook Exercise Overview.en.srt	13.4 KB
019 Keras Project Notebook Exercise Overview.mp4	84.5 MB
020 Keras Project Solution - Exploratoy Data Analysis.en.srt	30.8 KB
020 Keras Project Solution - Exploratoy Data Analysis.mp4	150.6 MB
021 Keras Project Solutions - Missing Data - Part One.en.srt	22.3 KB
021 Keras Project Solutions - Missing Data - Part One.mp4	101.5 MB
022 Keras Project Solutions - Dealing with Missing Data - Part Two.en.srt	19.3 KB
022 Keras Project Solutions - Dealing with Missing Data - Part Two.mp4	89.6 MB
023 Keras Project Solutions - Categorical Data.en.srt	27.8 KB
023 Keras Project Solutions - Categorical Data.mp4	131.1 MB
024 Keras Project Solutions - Data Preprocessing.en.srt	5.6 KB
024 Keras Project Solutions - Data Preprocessing.mp4	25.1 MB
025 Keras Project Solutions- Creating and Training the Model.en.srt	6.2 KB
025 Keras Project Solutions- Creating and Training the Model.mp4	31.2 MB
026 Keras Project Solutions - Model Evaluation.en.srt	15.1 KB
026 Keras Project Solutions - Model Evaluation.mp4	66.2 MB
027 Tensorboard.en.srt	31.4 KB
027 Tensorboard.mp4	151.2 MB
/08 Convolutional Neural Networks with TensorFlow/
001 Convolutional Neural Networks Section Overview.en.srt	2.8 KB
001 Convolutional Neural Networks Section Overview.mp4	7.9 MB
002 Image Filters and Kernels.en.srt	19.1 KB
002 Image Filters and Kernels.mp4	75.8 MB
003 Convolutional Layers.en.srt	22.6 KB
003 Convolutional Layers.mp4	60.8 MB
004 Pooling Layers.en.srt	11.3 KB
004 Pooling Layers.mp4	29.0 MB
005 MNIST Data Set Overview.en.srt	7.8 KB
005 MNIST Data Set Overview.mp4	25.9 MB
006 CNN on MNIST - The Data.en.srt	19.9 KB
006 CNN on MNIST - The Data.mp4	62.7 MB
007 CNN on MNIST - Creating and Training the Model.en.srt	26.6 KB
007 CNN on MNIST - Creating and Training the Model.mp4	103.7 MB
008 CNN on MNIST - Model Evaluation.en.srt	10.3 KB
008 CNN on MNIST - Model Evaluation.mp4	40.3 MB
009 CNN on CIFAR-10 - The Data.en.srt	18.6 KB
009 CNN on CIFAR-10 - The Data.mp4	67.4 MB
010 CNN on CIFAR-10 - Evaluating the Model.en.srt	11.6 KB
010 CNN on CIFAR-10 - Evaluating the Model.mp4	47.6 MB
011 Downloading Data Set for Real Image Lectures.en.srt	9.3 KB
011 Downloading Data Set for Real Image Lectures.mp4	29.5 MB
012 CNN on Real Image Files - Reading in the Data.en.srt	22.2 KB
012 CNN on Real Image Files - Reading in the Data.mp4	84.3 MB
013 CNN on Real Image Files - Data Generation.en.srt	24.9 KB
013 CNN on Real Image Files - Data Generation.mp4	92.0 MB
014 CNN on Real Image Files - Creating the Model.en.srt	21.7 KB
014 CNN on Real Image Files - Creating the Model.mp4	94.9 MB
015 CNN on Real Image Files - Model Evaluation.en.srt	13.2 KB
015 CNN on Real Image Files - Model Evaluation.mp4	49.2 MB
016 CNN Exercise Project Overview.en.srt	4.1 KB
016 CNN Exercise Project Overview.mp4	18.7 MB
017 CNN Exercise Project Solutions.en.srt	13.1 KB
017 CNN Exercise Project Solutions.mp4	58.6 MB
external-assets-links.txt	0.2 KB
/09 Reinforcement Learning - Core Concepts/
001 Overview of Core Concepts for Reinforcement Learning Section.en.srt	2.8 KB
001 Overview of Core Concepts for Reinforcement Learning Section.mp4	11.2 MB
002 Agents, Environments, and Policy.en.srt	19.4 KB
002 Agents, Environments, and Policy.mp4	65.3 MB
003 Rewards, Discount Factors, and Bellman Equation.en.srt	20.8 KB
003 Rewards, Discount Factors, and Bellman Equation.mp4	59.5 MB
004 Deterministic vs. Stochastic Processes.en.srt	8.2 KB
004 Deterministic vs. Stochastic Processes.mp4	28.6 MB
005 Tabular Reinforcement Learning.html	1.1 KB
/10 Open AI Gym Overview/
001 Introduction to OpenAI Gym Section.en.srt	1.7 KB
001 Introduction to OpenAI Gym Section.mp4	6.4 MB
002 OpenAI Overview and History.en.srt	18.2 KB
002 OpenAI Overview and History.mp4	73.1 MB
003 OpenAI Gym - Documentation Tour.en.srt	23.7 KB
003 OpenAI Gym - Documentation Tour.mp4	153.7 MB
004 OpenAI Gym - Environment Key Ideas.en.srt	13.9 KB
004 OpenAI Gym - Environment Key Ideas.mp4	39.1 MB
005 OpenAI Gym - Working with the Environment.en.srt	44.5 KB
005 OpenAI Gym - Working with the Environment.mp4	144.2 MB
006 OpenAI Gym - Agent Interacting with the Environment.en.srt	32.8 KB
006 OpenAI Gym - Agent Interacting with the Environment.mp4	122.1 MB
/11 Classical Q Learning/
001 Introduction to Classical Q-Learning Overview.en.srt	6.6 KB
001 Introduction to Classical Q-Learning Overview.mp4	23.7 MB
002 History of Q-Learning.en.srt	6.0 KB
002 History of Q-Learning.mp4	28.4 MB
003 Q-Learning Theory - Part One - Table Intuition.en.srt	24.0 KB
003 Q-Learning Theory - Part One - Table Intuition.mp4	81.3 MB
004 Q-Learning Theory - Part Two - Q Target Equation.en.srt	17.2 KB
004 Q-Learning Theory - Part Two - Q Target Equation.mp4	56.9 MB
005 Q-Learning Theory - Part Three - Q-Update Equation.en.srt	11.9 KB
005 Q-Learning Theory - Part Three - Q-Update Equation.mp4	39.3 MB
006 Q-Learning Theory - Part Four - Programmatic Q Updates.en.srt	15.7 KB
006 Q-Learning Theory - Part Four - Programmatic Q Updates.mp4	61.0 MB
007 Q-Learning Implementation - Part One - Environment Setup.en.srt	24.7 KB
007 Q-Learning Implementation - Part One - Environment Setup.mp4	92.5 MB
008 Q-Learning Implementation - Part Two - Table and Hyperparameters.en.srt	17.7 KB
008 Q-Learning Implementation - Part Two - Table and Hyperparameters.mp4	45.2 MB
009 Q-Learning Implementation - Part Three - Update Functions.en.srt	26.2 KB
009 Q-Learning Implementation - Part Three - Update Functions.mp4	97.4 MB
010 Q-Learning Implementation - Part Four - Agent Training.en.srt	27.4 KB
010 Q-Learning Implementation - Part Four - Agent Training.mp4	112.2 MB
011 Q-Learning Implementation - Part Five - Visualization and Utilization.en.srt	16.4 KB
011 Q-Learning Implementation - Part Five - Visualization and Utilization.mp4	59.3 MB
012 Continuous Q-Learning Theory - Part One - Environment Setup.en.srt	21.5 KB
012 Continuous Q-Learning Theory - Part One - Environment Setup.mp4	57.1 MB
013 Continuous Q-Learning Theory - Part Two- Q-Table Shape.en.srt	26.2 KB
013 Continuous Q-Learning Theory - Part Two- Q-Table Shape.mp4	89.9 MB
014 Continuous Q-Learning Theory - Part Three - Discretization Theory.en.srt	8.0 KB
014 Continuous Q-Learning Theory - Part Three - Discretization Theory.mp4	25.9 MB
015 Continuous Q-Learning - Part Four - Discretization Implementation.en.srt	27.7 KB
015 Continuous Q-Learning - Part Four - Discretization Implementation.mp4	90.4 MB
016 Continuous Q-Learning - Part Five - Functions and Hyperparameters.en.srt	16.7 KB
016 Continuous Q-Learning - Part Five - Functions and Hyperparameters.mp4	47.6 MB
017 Continuous Q-Learning - Part Six - Training and Usage.en.srt	32.5 KB
017 Continuous Q-Learning - Part Six - Training and Usage.mp4	114.1 MB
018 Q-Learning Exercise Project.en.srt	12.7 KB
018 Q-Learning Exercise Project.mp4	69.5 MB
019 Q-Learning Exercise Project - Solutions.en.srt	34.3 KB
019 Q-Learning Exercise Project - Solutions.mp4	185.7 MB
/12 Deep Q-Learning/
001 DQN Section Overview.en.srt	3.2 KB
001 DQN Section Overview.mp4	10.6 MB
002 History of DQN.en.srt	7.1 KB
002 History of DQN.mp4	30.1 MB
003 DQN Theory and Intuition - Part One - Review of Core RL Ideas.en.srt	7.5 KB
003 DQN Theory and Intuition - Part One - Review of Core RL Ideas.mp4	25.1 MB
004 DQN Theory and Intuition - Part Two - Neural Networks for RL.en.srt	17.5 KB
004 DQN Theory and Intuition - Part Two - Neural Networks for RL.mp4	48.8 MB
005 DQN Theory and Intuition - Part Three - Feedback and Function Approximation.en.srt	32.2 KB
005 DQN Theory and Intuition - Part Three - Feedback and Function Approximation.mp4	92.6 MB
006 DQN Theory and Intuition - Part Four - Experience Replay.en.srt	30.5 KB
006 DQN Theory and Intuition - Part Four - Experience Replay.mp4	100.7 MB
007 DQN Theory and Intuition - Part Five - Mapping Key Ideas to Code.en.srt	24.6 KB
007 DQN Theory and Intuition - Part Five - Mapping Key Ideas to Code.mp4	85.5 MB
008 DQN Manual Implementation - Part One - Imports and Environment.en.srt	8.0 KB
008 DQN Manual Implementation - Part One - Imports and Environment.mp4	21.8 MB
009 DQN Manual Implementation - Part Two - Artificial Neural Network.en.srt	11.8 KB
009 DQN Manual Implementation - Part Two - Artificial Neural Network.mp4	33.5 MB
010 DQN Manual Implementation - Part Three - Hyperparameters and Functions.en.srt	28.5 KB
010 DQN Manual Implementation - Part Three - Hyperparameters and Functions.mp4	88.9 MB
011 DQN Manual Implementation - Part Four - Model Training.en.srt	26.3 KB
011 DQN Manual Implementation - Part Four - Model Training.mp4	112.1 MB
012 DQN - Keras-RL2 - Part One - Overview.en.srt	12.0 KB
012 DQN - Keras-RL2 - Part One - Overview.mp4	56.3 MB
013 DQN - Keras-RL2 - Part Two - Imports and Environment.en.srt	5.1 KB
013 DQN - Keras-RL2 - Part Two - Imports and Environment.mp4	14.6 MB
014 DQN - Keras-RL2 - Part Three - Creating the ANN.en.srt	9.2 KB
014 DQN - Keras-RL2 - Part Three - Creating the ANN.mp4	27.3 MB
015 DQN - Keras-RL2 - Part Four - DQN Agent.en.srt	23.7 KB
015 DQN - Keras-RL2 - Part Four - DQN Agent.mp4	88.2 MB
016 DQN - Exercise Overview.en.srt	6.0 KB
016 DQN - Exercise Overview.mp4	29.7 MB
017 DQN - Exercise Solutions.en.srt	15.8 KB
017 DQN - Exercise Solutions.mp4	65.6 MB
110 DQNNaturePaper.pdf	4.6 MB
Total files 251