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10:09

DeepMind Makes Prototyping Papers Easy with ACME

DeepMind’s ACME framework makes implementing deep reinforcement learning agents incredibly easy. By using a modularized approach to agent design, agents can be scaled from a single thread up to hundreds easily. In this video I’ll give you a brief overview of how all the pieces fit together. Learn how to turn deep reinforcement learning papers […]
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18:35

Getting Started with VIM as a Python Editor

Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new Hindsight Experience Replay course, with my subscription service. $24.99 a month gives you instant access to 24 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer […]
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04:01

Applications of Deep Neural Networks for Keras – Paperback, Kindle & Free PDF

This book contains a complete course on deep neural work applications with Keras. I provide YouTube videos and a GitHub repository of all code and text for this book. Topics covered include tabular data, images, GANs, reinforcement learning, transformers, and natural language processing. All examples are in the Python programming language. Link to buy the […]
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52:16

Hierarchical and Continual RL with Doina Precup – #567

Today we’re joined by Doina Precup, a research team lead at DeepMind Montreal, and a professor at McGill University. In our conversation with Doina, we discuss her recent research interests, including her work in hierarchical reinforcement learning, with the goal being agents learning abstract representations, especially over time. We also explore her work on reward […]
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05:23

Have high gpu prices got you down?

GTC 2022 is almost upon us. That means it’s time for a giveaway. All you have to do is subscribe to the channel, watch the keynote, take a screenshot of yourself in the keynote session and email it to phil@neuralnet.ai. The keynote speech is March 22 at 8 AM PST. GPU giveaway is restricted to […]
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09:07

Recommendation with TF Agents Bandits Library (Reinforcement learning with TensorFlow Agents)

Wei Wei, a Developer Advocate for TensorFlow, walks through how to leverage the TF Agents Bandits Library to generate movie recommendations. Resources: Using the TensorFlow-Agents Bandits Library for Recommendations → https://goo.gle/3Lverbs How Digitec Galaxus trains and serves millions of personalized newsletters per week with TFX → https://goo.gle/3617kXV End-to-end example for bandit training under the MovieLens […]
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13:27

How I learned to stop worrying and love Artificial Super Intelligence

I think fears of artiicial super intelligence (in pop culture, specifically) are a bit overblown. I lay out my case in this vodeo. Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new Hindsight Experience Replay course, with my subscription service. $24.99 a month gives […]
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07:11

Introduction to TF Agents Bandits Library (Reinforcement learning with TensorFlow Agents)

Wei Wei, a Developer Advocate for TensorFlow, introduces the TF Agents Bandits Library and demonstrates how to solve a simple multi-armed bandit problem. Resources: Introduction to Multi-Armed Bandits → https://goo.gle/3uwFxZD Tutorial on Multi Armed Bandits in TF Agents → https://goo.gle/3uwFMUx A Contextual-Bandit Approach to Personalized News Article Recommendation (LinUCB) → https://goo.gle/3rAQIyB Introduction to Multi-Armed Bandits […]
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09:10

Continuous control and Actor-Learner API (Reinforcement learning with TensorFlow Agents)

Wei Wei, a Developer Advocate for TensorFlow, discusses continuous and discrete control, and walks through how to use the Minitaur environment to train a 4-legged robot to walk with the Actor-Learner API. Resources: SAC minitaur with the Actor-Learner API Tutorial → https://goo.gle/3oAa9FF TF Agents SAC example → https://goo.gle/35OzF3u TF Agents distributed training → https://goo.gle/3rzYj06 TensorFlow […]
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09:13

Reinforcement learning overview (Reinforcement learning with TensorFlow Agents)

Wei Wei, a Developer Advocate for TensorFlow, kicks off a new series on reinforcement learning where we explore how you can leverage TensorFlow Agents to build your own reinforcement learning agents. Wei explains how reinforcement learning can be used to train agents to make the best decisions when performing actions in environments to maximize rewards. […]
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01:22:15

Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli – #560

Today we’re joined by Kamyar Azizzadenesheli, an assistant professor at Purdue University, to close out our AI Rewind 2021 series! In this conversation, we focused on all things deep reinforcement learning, starting with a general overview of the direction of the field, and though it might seem to be slowing, thats just a product of […]
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34:33

Better together – DeepMind: The Podcast (Season 2, Episode 3)

Cooperation is at the heart of our society. Inventing the railway, giving birth to the Renaissance, and creating the Covid-19 vaccine all required people to combine efforts. But cooperation is so much more. It governs our education systems, healthcare, and food production. In this episode, Hannah meets the researchers working on cooperative AI, and hears […]
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19:29

Mastering Robotics with Hindsight Experience Replay | Paper Analysis

Hindisght experience replay works pretty simply: swap out the original goal your agent was trying to receive with one it actually received. It deals with environments with sparse rewards and large state spaces. Check out my analysis of the paper here. Learn how to turn deep reinforcement learning papers into code: Get instant access to […]
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122
10:28

Why I'm Not Putting My New Course On Udemy

Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new Hindsight Experience Replay course, with my subscription service. $24.99 a month gives you instant access to 24 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer […]
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123
09:48

Introduction to TF Agents and Deep Q Learning (Reinforcement learning with TensorFlow Agents)

Wei Wei, a Developer Advocate for TensorFlow, introduces TF Agents and walks through how to use the Deep Q Learning model to solve the cartpole environment. Resources: TensorFlow Agents homepage → https://goo.gle/34i7MAI Train a Deep Q Network with TF Agents Tutorial → https://goo.gle/3oz26ZQ TF-Agent DQN example → https://goo.gle/3HxmXnM Reinforcement Learning Lecture Series 2021 (DeepMind x […]
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29:08

Proximal Policy Optimization is Easy with Tensorflow 2 | PPO Tutorial

Proximal Policy Optimization (PPO) has emerged as a powerful on policy actor critic algorithm. You might think that implementing it is difficult, but in fact tensorflow 2 makes coding up a PPO agent relatively simple. We’re going to take advantage of my PyTorch code for this, as it serves as a great basis to expand […]
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14:54

Basic Hyperparameter Tuning in DeepMinds ACME Framework

In today’s ACME deep reinforcement learning framework tutorial, I will showy ou how to do some basic hyperparameter tuning in their built in Deep Q Learning agent. Learn how to turn deep reinforcement learning papers into code: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-AUG-2021 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-AUG-2021 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-AUG-2021 Reinforcement Learning Fundamentals […]
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25:46

Getting Started with Encryption in 2022

When you think of encryption you probably think of highly comjplex algorithms like SHA-256, but you can actually get unbreakable encryption with only a few lines of python. We’ll see how in this tutorial. We are going to cover 3 of the fundamental algorithms in encryption: the Caesar cipher, the Vignere cipher, and the one […]
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26:44

How to Code RL Agents Like DeepMind

DeepMind is known for leading the way in deep reinforcement learning research. Creating novel agents to conquer the most advanced environments requires the use of some sophisticated infrastructure. Fortunately for us mere mortals, they’ve open sourced their framework for designing deep reinforcement learning agents: ACME. In ACME, you’ll find everything from deep Q learning all […]