Channel Title: Machine Learning with Phil Channel Description: Howdy! At Neuralnet.ai we cover artificial intelligence and deep learning tutorials in a variety of topics, ranging from reinforcement learning to natural language processing. The bulk of my content is in deep reinforcement learning, where I present lectures on actor critic and policy gradient methods, as well as deep q learning and all its varieties. You'll get to learn advanced algorithms like A3C, DDPG, TD3, SAC, PPO, DQN, DDQN, and D3QN. Tutorials are presented in both the PyTorch and Tensorflow frameworks. I'm on a mission to educate 1,000,000 artificial intelligence engineers, so that we can stay one step ahead of our robot overlords. I typically post written tutorials at www.neuralnet.ai You can follow me on twitter at www.twitter.com/MLwithPhil <video> How to stay relevant as a software developer Description: to learn to implement papers: https://www.neuralnet.ai/courses </video> <video> Use This Framework to Get Started with Reinforcement Learning Description: You can download the framework from here: https://github.com/philtabor/ProtoRL Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new AI Applications course, with my subscription service. $29 a month gives you instant access to 40 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22 Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications. Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil </video> <video> This Language Model Can Read Papers Description: Subscribe for more </video> <video> Learn Low Level Programming as an AI Developer Description: Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new Distributed Prioritized Replay DQN course, with my subscription service. $29 a month gives you instant access to over 40 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22 Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications. Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil </video> <video> This simple python code holds a nasty surprise for new programmers Description: </video> <video> One Thing You Must Do To Stay Relevant In The AI Era Description: 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. $29 a month gives you instant access to over 40 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22 Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications. Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil </video> <video> AI Designs Quantum Circuits Description: Learn how to turn deep reinforcement learning papers into code: https://www.neuralnet.ai/courses </video> <video> Python Finally Has Switch Statements Description: </video> <video> Bard will teach you AI Description: 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. $29 a month gives you instant access to 42 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22 Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications. Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil </video> <video> Using Ollama for Local Large Language Models Description: We can use ollama.ai to run open source large language models locally. I can't promise that the output will be up to ChatGPT standards, but in a pinch, it will do. You can run the latest Mistral, Mixtral, Llama and Codellama models locally, without an H100 cluster. Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new AI Applications course, with my subscription service. $29 a month gives you instant access to over 40 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22 Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications. Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil </video> <video> RansomAI is the beginning of the end for cyber security Description: 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. $28 a month gives you instant access to 40 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22 Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications. Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil </video> <video> 10x Your Data Science With Polars Description: GitHub Link: https://nvda.ws/gpu-polars-xp Colab Link: https://nvda.ws/gpu-polars-xa Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new Distributed Prioritized Experience Replay (APE-X) course, with my subscription service. $29 a month gives you instant access to over 40 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22 Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications. Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil </video> <video> VIM Is A Modern Python Editor Description: Vim is a modern python editor, and here are three essential plugins. You'll need Vundle, NERDTree, ALE, and Flake8. Subscribe for more. </video> <video> 80% of Python Programmers Can't Solve This Simple Problem Description: </video> <video> Deep Q Learning for Malware: Black Hat Reinforcement Learning Description: In June of 2023, researchers from Switzerland showed how they can use Deep Q Learning to deploy encryption malware while evading detection by a machine learning algorithm. Here's the paper I referenced in the video https://arxiv.org/abs/2306.15559 Learn how to turn deep reinforcement learning papers into code: Get instant access to all my courses, including the new AI Applications course, with my subscription service. $29 a month gives you instant access to 40 hours of instructional content plus access to future updates, added monthly. Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to sales@neuralnet.ai https://www.neuralnet.ai/courses Or, pickup my Udemy courses here: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22 Curiosity Driven Deep Reinforcement Learning https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-JUNE-22 Just getting started in deep reinforcement learning? Check out my intro level course through Manning Publications. Reinforcement Learning Fundamentals https://www.manning.com/livevideo/reinforcement-learning-in-motion Here are some books / courses I recommend (affiliate links): Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W Grokking Deep Learning: https://bit.ly/3yJ14gT Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql Come hang out on Discord here: https://discord.gg/Zr4VCdv Website: https://www.neuralnet.ai Github: https://github.com/philtabor Twitter: https://twitter.com/MLWithPhil </video>

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Howdy! At Neuralnet.ai we cover artificial intelligence and deep learning tutorials in a variety of topics, ranging from reinforcement learning to natural language processing. The bulk of my content is in deep reinforcement learning, where I present lectures on actor critic and policy gradient methods, as well as deep q learning and all its varieties. You'll get to learn advanced algorithms like A3C, DDPG, TD3, SAC, PPO, DQN, DDQN, and D3QN. Tutorials are presented in both the PyTorch and Tensorflow frameworks.

I'm on a mission to educate 1,000,000 artificial intelligence engineers, so that we can stay one step ahead of our robot overlords.

I typically post written tutorials at www.neuralnet.ai
You can follow me on twitter at www.twitter.com/MLwithPhil

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