What we're about

This group is for all people interested in DIY projects, prototypes, electronics, hardware/software, and a community of technologists.

Find out more about us at: http://www.mocomakers.com

Find events for creative professionals, such as film, photography, art, and design in our other group: MoCo Creatives: http://www.meetup.com/MoCo-Creatives/

Upcoming events (5+)

Introductory Reinforcement Learning Series

Studio i MakerSpace, Rockville Library - Back of Second Floor

This presentation will focus on DQN - Deep Q-Network Time permitting, we may briefly touch Double Q Learning Dueling DQN Member Presentation of pybullet/Maze code ( if any) 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

This presentation will focus on DQN - Deep Q-Network Time permitting, we may briefly touch Double Q Learning Dueling DQN Member Presentation of pybullet/Maze code ( if any) 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

This presentation will focus on DQN - Deep Q-Network Time permitting, we may briefly touch Double Q Learning Dueling DQN Member Presentation of pybullet/Maze code ( if any) 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

This presentation will focus on DQN - Deep Q-Network Time permitting, we may briefly touch Double Q Learning Dueling DQN Member Presentation of pybullet/Maze code ( if any) 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

Past events (195)

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

Studio i MakerSpace, Rockville Library - Back of Second Floor

Photos (150)