Udemy - Advanced AI Deep Reinforcement Learning in Python (11.2024)

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Udemy - Advanced AI Deep Reinforcement Learning in Python (11.2024)

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收录时间：2025-07-05
最近下载：2025-07-23

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文件列表

  • 6 - Deep Q-Learning/7 -Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 6 - Deep Q-Learning/8 -Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.mp4 195.2 MB
  • 7 - A3C/5 -A3C - Code pt 4.mp4 193.3 MB
  • 2 - The Basics of Reinforcement Learning/2 -Elements of a Reinforcement Learning Problem.mp4 110.4 MB
  • 7 - A3C/4 -A3C - Code pt 3.mp4 88.6 MB
  • 8 - Theano and Tensorflow Basics Review/4 -(Review) Tensorflow Neural Network in Code.mp4 82.2 MB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/3 -Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 8 - Theano and Tensorflow Basics Review/1 -(Review) Theano Basics.mp4 81.9 MB
  • 1 - Introduction and Logistics/2 -Where to get the Code.mp4 76.8 MB
  • 7 - A3C/1 -A3C - Theory and Outline.mp4 75.2 MB
  • 8 - Theano and Tensorflow Basics Review/2 -(Review) Theano Neural Network in Code.mp4 71.0 MB
  • 2 - The Basics of Reinforcement Learning/11 -Q-Learning.mp4 70.3 MB
  • 8 - Theano and Tensorflow Basics Review/3 -(Review) Tensorflow Basics.mp4 66.5 MB
  • 7 - A3C/3 -A3C - Code pt 2.mp4 60.4 MB
  • 2 - The Basics of Reinforcement Learning/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 58.2 MB
  • 2 - The Basics of Reinforcement Learning/4 -Markov Decision Processes (MDPs).mp4 53.3 MB
  • 1 - Introduction and Logistics/1 -Introduction and Outline.mp4 52.9 MB
  • 7 - A3C/2 -A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 2 - The Basics of Reinforcement Learning/6 -Value Functions and the Bellman Equation.mp4 50.5 MB
  • 2 - The Basics of Reinforcement Learning/8 -Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 48.5 MB
  • 2 - The Basics of Reinforcement Learning/3 -States, Actions, Rewards, Policies.mp4 46.7 MB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 2 - The Basics of Reinforcement Learning/1 -Reinforcement Learning Section Introduction.mp4 43.0 MB
  • 2 - The Basics of Reinforcement Learning/12 -How to Learn Reinforcement Learning.mp4 42.5 MB
  • 12 - Appendix FAQ Finale/2 -BONUS.mp4 42.4 MB
  • 2 - The Basics of Reinforcement Learning/10 -Epsilon-Greedy.mp4 42.1 MB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • 2 - The Basics of Reinforcement Learning/7 -What does it mean to “learn”.mp4 33.4 MB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
  • 6 - Deep Q-Learning/6 -Pseudocode and Replay Memory.mp4 29.2 MB
  • 2 - The Basics of Reinforcement Learning/13 -Suggestion Box.mp4 28.5 MB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/1 -How to Code by Yourself (part 1).mp4 25.7 MB
  • 2 - The Basics of Reinforcement Learning/5 -The Return.mp4 24.9 MB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/1 -Pre-Installation Check.mp4 23.8 MB
  • 5 - Policy Gradients/9 -Mountain Car Continuous Theano (v2).mp4 23.3 MB
  • 5 - Policy Gradients/7 -Mountain Car Continuous Tensorflow.mp4 21.1 MB
  • 5 - Policy Gradients/6 -Mountain Car Continuous Theano.mp4 20.0 MB
  • 1 - Introduction and Logistics/4 -Tensorflow or Theano - Your Choice!.mp4 19.8 MB
  • 5 - Policy Gradients/8 -Mountain Car Continuous Tensorflow (v2).mp4 19.7 MB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1 -How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 5 - Policy Gradients/2 -Policy Gradient in TensorFlow for CartPole.mp4 18.8 MB
  • 5 - Policy Gradients/1 -Policy Gradient Methods.mp4 18.8 MB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/5 -Is Theano Dead.mp4 18.7 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/6 -RBF Neural Networks.mp4 17.3 MB
  • 1 - Introduction and Logistics/3 -How to Succeed in this Course.mp4 17.0 MB
  • 4 - TD Lambda/1 -N-Step Methods.mp4 16.3 MB
  • 6 - Deep Q-Learning/3 -Deep Q-Learning in Tensorflow for CartPole.mp4 15.7 MB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/2 -How to Code by Yourself (part 2).mp4 15.5 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/5 -CartPole with Bins (Code).mp4 15.4 MB
  • 6 - Deep Q-Learning/2 -Deep Q-Learning Techniques.mp4 15.1 MB
  • 6 - Deep Q-Learning/4 -Deep Q-Learning in Theano for CartPole.mp4 14.4 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/7 -RBF Networks with Mountain Car (Code).mp4 14.4 MB
  • 5 - Policy Gradients/3 -Policy Gradient in Theano for CartPole.mp4 14.1 MB
  • 4 - TD Lambda/3 -TD Lambda.mp4 12.3 MB
  • 6 - Deep Q-Learning/10 -Deep Q-Learning Section Summary.mp4 10.9 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/2 -Random Search.mp4 10.8 MB
  • 4 - TD Lambda/2 -N-Step in Code.mp4 9.9 MB
  • 7 - A3C/7 -Course Summary.mp4 9.9 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/9 -RBF Networks with CartPole (Code).mp4 9.3 MB
  • 7 - A3C/6 -A3C - Section Summary.mp4 9.3 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/1 -OpenAI Gym Tutorial.mp4 9.1 MB
  • 6 - Deep Q-Learning/5 -Additional Implementation Details for Atari.mp4 8.9 MB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/4 -Python 2 vs Python 3.mp4 8.2 MB
  • 4 - TD Lambda/4 -TD Lambda in Code.mp4 8.0 MB
  • 6 - Deep Q-Learning/9 -Partially Observable MDPs.mp4 8.0 MB
  • 5 - Policy Gradients/4 -Continuous Action Spaces.mp4 6.9 MB
  • 5 - Policy Gradients/5 -Mountain Car Continuous Specifics.mp4 6.8 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/4 -CartPole with Bins (Theory).mp4 6.3 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/12 -Plugging in a Neural Network.mp4 6.2 MB
  • 6 - Deep Q-Learning/1 -Deep Q-Learning Intro.mp4 6.2 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/10 -Theano Warmup.mp4 6.1 MB
  • 12 - Appendix FAQ Finale/1 -What is the Appendix.mp4 5.7 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/13 -OpenAI Gym Section Summary.mp4 5.6 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/11 -Tensorflow Warmup.mp4 5.3 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/3 -Saving a Video.mp4 4.8 MB
  • 4 - TD Lambda/5 -TD Lambda Summary.mp4 3.8 MB
  • 5 - Policy Gradients/10 -Policy Gradient Section Summary.mp4 3.5 MB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/8 -RBF Networks with CartPole (Theory).mp4 3.2 MB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.ro_RO.vtt 31.7 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.id_ID.vtt 31.0 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.pt_BR.vtt 30.6 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.es_ES.vtt 30.5 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.it_IT.vtt 30.3 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.pl_PL.vtt 30.3 kB
  • 6 - Deep Q-Learning/subtitles/7 -Deep Q-Learning in Tensorflow for Breakout.ro_RO.vtt 28.7 kB
  • 6 - Deep Q-Learning/subtitles/8 -Deep Q-Learning in Theano for Breakout.ro_RO.vtt 28.6 kB
  • 6 - Deep Q-Learning/subtitles/8 -Deep Q-Learning in Theano for Breakout.es_ES.vtt 28.6 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28.4 kB
  • 6 - Deep Q-Learning/subtitles/7 -Deep Q-Learning in Tensorflow for Breakout.es_ES.vtt 28.4 kB
  • 6 - Deep Q-Learning/subtitles/8 -Deep Q-Learning in Theano for Breakout.it_IT.vtt 28.1 kB
  • 6 - Deep Q-Learning/subtitles/7 -Deep Q-Learning in Tensorflow for Breakout.it_IT.vtt 28.0 kB
  • 6 - Deep Q-Learning/subtitles/8 -Deep Q-Learning in Theano for Breakout.id_ID.vtt 27.6 kB
  • 6 - Deep Q-Learning/subtitles/7 -Deep Q-Learning in Tensorflow for Breakout.id_ID.vtt 27.4 kB
  • 6 - Deep Q-Learning/subtitles/8 -Deep Q-Learning in Theano for Breakout.pt_BR.vtt 27.4 kB
  • 6 - Deep Q-Learning/subtitles/7 -Deep Q-Learning in Tensorflow for Breakout.pt_BR.vtt 27.4 kB
  • 6 - Deep Q-Learning/subtitles/7 -Deep Q-Learning in Tensorflow for Breakout.pl_PL.vtt 27.0 kB
  • 6 - Deep Q-Learning/subtitles/8 -Deep Q-Learning in Theano for Breakout.pl_PL.vtt 26.9 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/2 -Elements of a Reinforcement Learning Problem.es_ES.vtt 25.9 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/2 -Elements of a Reinforcement Learning Problem.it_IT.vtt 25.9 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/2 -Elements of a Reinforcement Learning Problem.pt_BR.vtt 25.6 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/2 -Elements of a Reinforcement Learning Problem.pl_PL.vtt 25.3 kB
  • 6 - Deep Q-Learning/8 -Deep Q-Learning in Theano for Breakout.vtt 25.2 kB
  • 6 - Deep Q-Learning/7 -Deep Q-Learning in Tensorflow for Breakout.vtt 25.2 kB
  • 2 - The Basics of Reinforcement Learning/2 -Elements of a Reinforcement Learning Problem.vtt 24.1 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).ro_RO.vtt 23.7 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).es_ES.vtt 22.9 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).pt_BR.vtt 22.8 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).it_IT.vtt 22.8 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).id_ID.vtt 22.6 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/1 -How to Code by Yourself (part 1).ro_RO.vtt 22.4 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).pl_PL.vtt 22.2 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/1 -How to Code by Yourself (part 1).pt_BR.vtt 21.8 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/1 -How to Code by Yourself (part 1).es_ES.vtt 21.8 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/1 -How to Code by Yourself (part 1).id_ID.vtt 21.6 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/1 -How to Code by Yourself (part 1).it_IT.vtt 21.5 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/1 -How to Code by Yourself (part 1).pl_PL.vtt 21.1 kB
  • 7 - A3C/subtitles/5 -A3C - Code pt 4.ro_RO.vtt 21.1 kB
  • 7 - A3C/subtitles/5 -A3C - Code pt 4.es_ES.vtt 20.9 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).vtt 20.7 kB
  • 7 - A3C/subtitles/5 -A3C - Code pt 4.it_IT.vtt 20.7 kB
  • 7 - A3C/subtitles/5 -A3C - Code pt 4.id_ID.vtt 20.5 kB
  • 7 - A3C/subtitles/1 -A3C - Theory and Outline.ro_RO.vtt 20.3 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/1 -How to Code by Yourself (part 1).vtt 20.3 kB
  • 7 - A3C/subtitles/5 -A3C - Code pt 4.pt_BR.vtt 20.2 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/2 -Anaconda Environment Setup.ro_RO.vtt 20.2 kB
  • 7 - A3C/subtitles/5 -A3C - Code pt 4.pl_PL.vtt 19.9 kB
  • 7 - A3C/subtitles/1 -A3C - Theory and Outline.es_ES.vtt 19.7 kB
  • 7 - A3C/subtitles/1 -A3C - Theory and Outline.id_ID.vtt 19.7 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/2 -Anaconda Environment Setup.id_ID.vtt 19.5 kB
  • 7 - A3C/subtitles/1 -A3C - Theory and Outline.pl_PL.vtt 19.4 kB
  • 7 - A3C/subtitles/1 -A3C - Theory and Outline.it_IT.vtt 19.4 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/2 -Anaconda Environment Setup.es_ES.vtt 19.4 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/2 -Anaconda Environment Setup.pl_PL.vtt 19.4 kB
  • 7 - A3C/subtitles/1 -A3C - Theory and Outline.pt_BR.vtt 19.3 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/2 -Anaconda Environment Setup.it_IT.vtt 19.1 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/2 -Anaconda Environment Setup.pt_BR.vtt 19.1 kB
  • 7 - A3C/5 -A3C - Code pt 4.vtt 19.0 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/11 -Q-Learning.it_IT.vtt 18.3 kB
  • 7 - A3C/1 -A3C - Theory and Outline.vtt 18.3 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/11 -Q-Learning.es_ES.vtt 18.2 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.vtt 17.8 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/11 -Q-Learning.pt_BR.vtt 17.7 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/11 -Q-Learning.pl_PL.vtt 17.6 kB
  • 2 - The Basics of Reinforcement Learning/11 -Q-Learning.vtt 16.8 kB
  • 1 - Introduction and Logistics/subtitles/2 -Where to get the Code.pt_BR.vtt 16.6 kB
  • 1 - Introduction and Logistics/subtitles/2 -Where to get the Code.pl_PL.vtt 16.4 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).ro_RO.vtt 16.1 kB
  • 1 - Introduction and Logistics/subtitles/2 -Where to get the Code.es_ES.vtt 16.1 kB
  • 1 - Introduction and Logistics/subtitles/2 -Where to get the Code.it_IT.vtt 15.9 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).es_ES.vtt 15.6 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).pt_BR.vtt 15.5 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).id_ID.vtt 15.5 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).it_IT.vtt 15.4 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).pl_PL.vtt 15.4 kB
  • 1 - Introduction and Logistics/2 -Where to get the Code.vtt 15.2 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).es_ES.vtt 15.2 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).it_IT.vtt 15.1 kB
  • 5 - Policy Gradients/subtitles/1 -Policy Gradient Methods.ro_RO.vtt 14.9 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).pt_BR.vtt 14.8 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/1 -How to Succeed in this Course (Long Version).ro_RO.vtt 14.7 kB
  • 2 - The Basics of Reinforcement Learning/subtitles/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).pl_PL.vtt 14.6 kB
  • 5 - Policy Gradients/subtitles/1 -Policy Gradient Methods.it_IT.vtt 14.6 kB
  • 5 - Policy Gradients/subtitles/1 -Policy Gradient Methods.es_ES.vtt 14.6 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).vtt 14.4 kB
  • 5 - Policy Gradients/subtitles/1 -Policy Gradient Methods.id_ID.vtt 14.4 kB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/subtitles/6 -RBF Neural Networks.ro_RO.vtt 14.4 kB
  • 5 - Policy Gradients/subtitles/1 -Policy Gradient Methods.pl_PL.vtt 14.2 kB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/subtitles/6 -RBF Neural Networks.es_ES.vtt 14.2 kB
  • 5 - Policy Gradients/subtitles/1 -Policy Gradient Methods.pt_BR.vtt 14.2 kB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/subtitles/6 -RBF Neural Networks.pt_BR.vtt 14.1 kB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/subtitles/6 -RBF Neural Networks.it_IT.vtt 14.1 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.ro_RO.vtt 14.1 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/1 -How to Succeed in this Course (Long Version).id_ID.vtt 14.1 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/1 -How to Succeed in this Course (Long Version).pt_BR.vtt 14.0 kB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/subtitles/6 -RBF Neural Networks.pl_PL.vtt 14.0 kB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/subtitles/6 -RBF Neural Networks.id_ID.vtt 14.0 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.es_ES.vtt 13.8 kB
  • 2 - The Basics of Reinforcement Learning/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).vtt 13.8 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/1 -How to Succeed in this Course (Long Version).es_ES.vtt 13.8 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.pl_PL.vtt 13.7 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.pt_BR.vtt 13.7 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/1 -How to Succeed in this Course (Long Version).pl_PL.vtt 13.7 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/subtitles/1 -How to Succeed in this Course (Long Version).it_IT.vtt 13.7 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.id_ID.vtt 13.7 kB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/subtitles/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.it_IT.vtt 13.7 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/3 -Proof that using Jupyter Notebook is the same as not using it.ro_RO.vtt 13.6 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/3 -Proof that using Jupyter Notebook is the same as not using it.es_ES.vtt 13.5 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/3 -Proof that using Jupyter Notebook is the same as not using it.id_ID.vtt 13.5 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/3 -Proof that using Jupyter Notebook is the same as not using it.pt_BR.vtt 13.5 kB
  • 5 - Policy Gradients/1 -Policy Gradient Methods.vtt 13.3 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/3 -Proof that using Jupyter Notebook is the same as not using it.it_IT.vtt 13.3 kB
  • 3 - OpenAI Gym and Basic Reinforcement Learning Techniques/6 -RBF Neural Networks.vtt 13.1 kB
  • 11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1 -How to Succeed in this Course (Long Version).vtt 13.1 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/2 -How to Code by Yourself (part 2).ro_RO.vtt 13.0 kB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/subtitles/3 -Proof that using Jupyter Notebook is the same as not using it.pl_PL.vtt 12.7 kB
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