• Destruction of the Toys – Or how we build a robot – Group Project

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    We want a robot that moves, watches, listens… We will give the robot a face, and people will talk with it! Science fiction? No. I’m talking about a teleconferencing robot. See: https://bit.ly/2Fs2TFX from https://www.engadget.com/2017/08/11/the-best-telepresence-robot/ They talk about a $4000 robot. Let’s DIY one ourselves on the cheap. If it works, we can let visitors ‘watch’ our MoCo Maker meetings remotely. Initially we should focusing on a remote-controlled base. So first part is a tear-down of a remote-controlled toy laying around the MakerSpace. www.mocomakers.com/parking

  • Introductory Reinforcement Learning Series

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    RL Session 4: 1) Wrap up Markow Decision Process, Q-Learning 2) Introduce DQN (Deep Query Networks) 3) Explore Moutaincar-v0 models on OPENAI Gym We want to grow an AI community in Rockville Science Space. We welcome enthusiasts from all experience levels We encourage experts or more experienced members to join, and help in guiding our beginner AI & DL Enthusiasts. What you need to bring is Curiosity.. Artificial Intelligence is a way of Life, it is here to stay, and everyday, it becomes more and more a part of our lives. This series of talks will focus on the impacts of Deep Learning with respect to Reinforcement Learning. Our goal is to create practical projects with a little theory mixed in. I will do an overview of key concepts of RL , a preview of AI related technical concepts. I will set up a preface for Tensorflow and Keras. In the latter sessions, we will be exploring Tensorflow paired with Keras, using Python and Jupyter Notebooks. This is a multi-part talk, so don't miss out on the foundation. Suggested RoadMap. 1) RL Basics 2) RL Basics & OPENAI Gym. 3) Introductory (Bellman Equation, Markov Decision Process, Q-Learning) 4) Deeper Dive in MDP, Q-Learning, DQN using OpenAI Gym Standard Textbook: Reinforcement Learning by Richard S Sutton & Barto http://incompleteideas.net/book/RLbook2018trimmed.pdf

  • Destruction of the Toys – Or how we build a robot – Group Project

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    We want a robot that moves, watches, listens… We will give the robot a face, and people will talk with it! Science fiction? No. I’m talking about a teleconferencing robot. See: https://bit.ly/2Fs2TFX from https://www.engadget.com/2017/08/11/the-best-telepresence-robot/ They talk about a $4000 robot. Let’s DIY one ourselves on the cheap. If it works, we can let visitors ‘watch’ our MoCo Maker meetings remotely. Initially we should focusing on a remote-controlled base. So first part is a tear-down of a remote-controlled toy laying around the MakerSpace. www.mocomakers.com/parking

  • Destruction of the Toys – Or how we build a robot – Group Project

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    We want a robot that moves, watches, listens… We will give the robot a face, and people will talk with it! Science fiction? No. I’m talking about a teleconferencing robot. See: https://bit.ly/2Fs2TFX from https://www.engadget.com/2017/08/11/the-best-telepresence-robot/ They talk about a $4000 robot. Let’s DIY one ourselves on the cheap. If it works, we can let visitors ‘watch’ our MoCo Maker meetings remotely. Initially we should focusing on a remote-controlled base. So first part is a tear-down of a remote-controlled toy laying around the MakerSpace. www.mocomakers.com/parking

  • Introductory Reinforcement Learning Series

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    We want to grow an AI community in Rockville Science Space. We welcome enthusiasts from all experience levels We encourage experts or more experienced members to join, and help in guiding our beginner AI & DL Enthusiasts. What you need to bring is Curiosity.. Artificial Intelligence is a way of Life, it is here to stay, and everyday, it becomes more and more a part of our lives. This series of talks will focus on the impacts of Deep Learning with respect to Reinforcement Learning. Our goal is to create practical projects with a little theory mixed in. I will do an overview of key concepts of RL , a preview of AI related technical concepts. I will set up a preface for Tensorflow and Keras. In the latter sessions, we will be exploring Tensorflow paired with Keras, using Python and Jupyter Notebooks. This is a multi-part talk, so don't miss out on the foundation. Suggested RoadMap. 1) RL Basics 2) RL Basics & OPENAI Gym. 3) Introductory (Bellman Equation, Markov Decision Process, Q-Learning) 4) Deeper Dive inMDP, Q-Learning, DNQ using OpenAI Gym Standard Textbook: Reinforcement Learning by Richard S Sutton & Barto http://incompleteideas.net/book/RLbook2018trimmed.pdf

  • Destruction of the Toys – Or how we build a robot – Group Project

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    We want a robot that moves, watches, listens… We will give the robot a face, and people will talk with it! Science fiction? No. I’m talking about a teleconferencing robot. See: https://bit.ly/2Fs2TFX from https://www.engadget.com/2017/08/11/the-best-telepresence-robot/ They talk about a $4000 robot. Let’s DIY one ourselves on the cheap. If it works, we can let visitors ‘watch’ our MoCo Maker meetings remotely. Initially we should focusing on a remote-controlled base. So first part is a tear-down of a remote-controlled toy laying around the MakerSpace. www.mocomakers.com/parking

  • Introductory Reinforcement Learning Series

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    We want to grow an AI community in Rockville Science Space. We welcome enthusiasts from all experience levels We encourage experts or more experienced members to join, and help in guiding our beginner AI & DL Enthusiasts. What you need to bring is Curiosity.. Artificial Intelligence is a way of Life, it is here to stay, and everyday, it becomes more and more a part of our lives. This series of talks will focus on the impacts of Deep Learning with respect to Reinforcement Learning. Our goal is to create practical projects with a little theory mixed in. I will do an overview of key concepts of RL , a preview of AI related technical concepts. I will set up a preface for Tensorflow and Keras. In the latter sessions, we will be exploring Tensorflow paired with Keras, using Python and Jupyter Notebooks. This is a multi-part talk, so don't miss out on the foundation. Suggested RoadMap. 1) RL Basics 2) RL Basics & OPENAI Gym. 3) Introductory (Bellman Equation, Markov Decision Process, Q-Learning) 4) Deeper Dive inMDP, Q-Learning, DNQ using OpenAI Gym Standard Textbook: Reinforcement Learning by Richard S Sutton & Barto http://incompleteideas.net/book/RLbook2018trimmed.pdf

  • Introductory Reinforcement Learning Series

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    We want to grow an AI community in Rockville Science Space. We welcome enthusiasts from all experience levels We encourage experts or more experienced members to join, and help in guiding our beginner AI & DL Enthusiasts. What you need to bring is Curiosity.. Artificial Intelligence is a way of Life, it is here to stay, and everyday, it becomes more and more a part of our lives. This series of talks will focus on the impacts of Deep Learning with respect to Reinforcement Learning. Our goal is to create practical projects with a little theory mixed in. I will do an overview of key concepts of RL , a preview of AI related technical concepts. I will set up a preface for Tensorflow and Keras. In the latter sessions, we will be exploring Tensorflow paired with Keras, using Python and Jupyter Notebooks. This is a multi-part talk, so don't miss out on the foundation. Suggested RoadMap. 1) RL Basics 2) RL Basics & OPENAI Gym. 3) Introductory (Bellman Equation, Markov Decision Process, Q-Learning) 4) Deeper Dive inMDP, Q-Learning, DNQ using OpenAI Gym Standard Textbook: Reinforcement Learning by Richard S Sutton & Barto http://incompleteideas.net/book/RLbook2018trimmed.pdf

  • Introductory Reinforcement Learning Series

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    We want to grow an AI community in Rockville Science Space. We welcome enthusiasts from all experience levels We encourage experts or more experienced members to join, and help in guiding our beginner AI & DL Enthusiasts. What you need to bring is Curiosity.. Artificial Intelligence is a way of Life, it is here to stay, and everyday, it becomes more and more a part of our lives. This series of talks will focus on the impacts of Deep Learning with respect to Reinforcement Learning. Our goal is to create practical projects with a little theory mixed in. I will do an overview of key concepts of RL , a preview of AI related technical concepts. I will set up a preface for Tensorflow and Keras. In the latter sessions, we will be exploring Tensorflow paired with Keras, using Python and Jupyter Notebooks. This is a multi-part talk, so don't miss out on the foundation. Suggested RoadMap. 1) RL Basics 2) RL Basics & OPENAI Gym. 3) Introductory (Bellman Equation, Markov Decision Process, Q-Learning) 4) Deeper Dive inMDP, Q-Learning, DNQ using OpenAI Gym Standard Textbook: Reinforcement Learning by Richard S Sutton & Barto http://incompleteideas.net/book/RLbook2018trimmed.pdf

  • Introductory Reinforcement Learning Series

    Studio i MakerSpace, Rockville Library - Back of Second Floor

    We want to grow an AI community in Rockville Science Space. We welcome enthusiasts from all experience levels We encourage experts or more experienced members to join, and help in guiding our beginner AI & DL Enthusiasts. What you need to bring is Curiosity.. Artificial Intelligence is a way of Life, it is here to stay, and everyday, it becomes more and more a part of our lives. This series of talks will focus on the impacts of Deep Learning with respect to Reinforcement Learning. Our goal is to create practical projects with a little theory mixed in. I will do an overview of key concepts of RL , a preview of AI related technical concepts. I will set up a preface for Tensorflow and Keras. In the latter sessions, we will be exploring Tensorflow paired with Keras, using Python and Jupyter Notebooks. This is a multi-part talk, so don't miss out on the foundation. Suggested RoadMap. 1) RL Basics 2) RL Basics & OPENAI Gym. 3) Introductory (Bellman Equation, Markov Decision Process, Q-Learning) 4) Deeper Dive inMDP, Q-Learning, DNQ using OpenAI Gym Standard Textbook: Reinforcement Learning by Richard S Sutton & Barto http://incompleteideas.net/book/RLbook2018trimmed.pdf