May 9, 2019

Quite a few of you have been asking when I’d do another Reinforcement Learning course… well, how about today? 😉 [if you don’t want to read my little spiel just click here to get your VIP coupon: https://deeplearningcourses.com/c/cutting-edge-artificial-intelligence] This is technically Deep Learning in Python part 11, and my 3rd reinforcement learning course, which is super awesome. The maturation of deep learning has propelled advances in reinforcement learning, which has been around since the 1980s, although some aspects of it, such as the Bellman equation, have been for much longer. Recently, these advances have allowed us to showcase just how powerful reinforcement learning can be. We’ve seen how AlphaZero can master the game of Go using only self-play. This is just a few years after the original AlphaGo already beat a world champion in Go. We’ve seen real-world robots learn how to walk, and even recover after being kicked over, despite only being trained using simulation. Simulation is nice because it doesn’t require actual hardware, which is expensive. If your agent falls down, no real damage is done. We’ve seen real-world robots learn hand dexterity, which is no small feat. Walking is one thing, but that involves coarse movements. Hand dexterity is complex – you have many degrees of freedom and many of the forces involved are extremely subtle. Last but not least – video games. Even just considering the past few months, we’ve seen some amazing developments. AIs are now beating professional players in CS:GO and Dota 2. So what makes this course different from the first two? Now that we know deep learning works with reinforcement learning, the question becomes: how do we improve these algorithms? This course is going to show you a few different ways: including the powerful A2C (Advantage Actor-Critic) algorithm, the DDPG (Deep Deterministic Policy Gradient) algorithm, and evolution strategies. Evolution strategies is a new and fresh take on reinforcement learning, that kind of throws away all the old theory in favor of a more “black box” approach, inspired by biological evolution. What’s also great about this new course is the variety of environments we get to look at. First, we’re going to look at the classic Atari environments. These are important because they show that reinforcement learning agents can learn based on images alone. Second, we’re going to look at MuJoCo, which is a physics simulator. This is the first step to building a robot that can navigate the real-world and understand physics – we first have to show it can work with simulated physics. Finally, we’re going to look at Flappy Bird, everyone’s favorite mobile game just a few years ago. What do you get if you sign up for the VIP version of this course? A brand new exclusive section covering an entirely new algorithm: TD3! As usual, both theory and code for this powerful state-of-the-art algorithm are provided. I’ll see you in class! P.S. As usual, if you primarily use another site (e.g. Udemy) you will automatically get free access (upon request) if you’ve already purchased the VIP version of the course from deeplearningcourses.com. Get the course now

March 13, 2019

Do beer and AI go together? For the next week, all my Deep Learning and AI courses are available for just $11.99! ($1.00 less than the current sale, woohoo!) For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code: MAR2019. For prerequisite courses (math, stats, Python programming) and all other courses, follow the links at the bottom for sales of up to 90% off! Since ALL courses on Udemy on sale, if you want any course not listed here, just click the general (site-wide) link, and search for courses from that page. https://www.udemy.com/support-vector-machines-in-python/?couponCode=MAR2019 https://www.udemy.com/recommender-systems/?couponCode=MAR2019 https://www.udemy.com/deep-learning-advanced-nlp/?couponCode=MAR2019 https://www.udemy.com/advanced-computer-vision/?couponCode=MAR2019 https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=MAR2019 https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=MAR2019 https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=MAR2019 https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=MAR2019 https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=MAR2019 https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=MAR2019 https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=MAR2019 https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=MAR2019 https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=MAR2019 https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=MAR2019 https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=MAR2019 https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=MAR2019 https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=MAR2019 https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=MAR2019 https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=MAR2019 https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=MAR2019 https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=MAR2019 https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=MAR2019   PREREQUISITE COURSE COUPONS And just as important, $11.99 coupons for some helpful prerequisite courses. You NEED to know this stuff to understand machine learning in-depth: General (site-wide): http://bit.ly/2oCY14Z Python http://bit.ly/2pbXxXz Calc 1 http://bit.ly/2okPUib Calc 2 http://bit.ly/2oXnhpX Calc 3 http://bit.ly/2pVU0gQ Linalg 1 http://bit.ly/2oBBir1 Linalg 2 http://bit.ly/2q5SGEE Probability (option 1) http://bit.ly/2p8kcC0 Probability (option 2) http://bit.ly/2oXa2pb Probability (option 3) http://bit.ly/2oXbZSK   OTHER UDEMY COURSE COUPONS As you know, I’m the “Lazy Programmer”, not just the “Lazy Data Scientist” – I love all kinds of programming!   iOS courses: https://lazyprogrammer.me/ios Android courses: https://lazyprogrammer.me/android Ruby on Rails courses: https://lazyprogrammer.me/ruby-on-rails Python courses: https://lazyprogrammer.me/python Big Data (Spark + Hadoop) courses: https://lazyprogrammer.me/big-data-hadoop-spark-sql Javascript, ReactJS, AngularJS courses: https://lazyprogrammer.me/js   EVEN MORE COOL STUFF Into Yoga in your spare time? Photography? Painting? There are courses, and I’ve got coupons! If you find a course on Udemy that you’d like a coupon for, just let me know and I’ll hook you up!

January 1, 2019

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November 14, 2018

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July 15, 2018

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April 11, 2018

ALL Courses on Udemy $10.99

April 2018

Grab these courses before these sales go away

I’m hard at work at my next course, so guess what that means? Everything on sale!

For the next 5 days, ALL courses on Udemy (not just mine) are available for just $10.99!

For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code: APR2018.

For prerequisite courses (math, stats, Python programming) and all other courses, follow the links at the bottom.

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iOS courses:
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Android courses:
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Ruby on Rails courses:
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Python courses:
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March 17, 2018

ALL Courses on Udemy $10.99

St. Patrick’s Day 2018

Who needs luck when you have machine learning?

I’m hard at work at my next course, so guess what that means? Everything on sale!

For the next 3 days, ALL courses on Udemy (not just mine) are available for just $10.99!

For my courses, please use the coupons below (included in the links), or if you want, enter the coupon code: MAR2018.

For prerequisite courses (math, stats, Python programming) and all other courses, follow the links at the bottom.

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And just as important, $10.99 coupons for some helpful prerequisite courses. You NEED to know this stuff to understand machine learning in-depth:

General (site-wide): http://bit.ly/2oCY14Z
Python http://bit.ly/2pbXxXz
Calc 1 http://bit.ly/2okPUib
Calc 2 http://bit.ly/2oXnhpX
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iOS courses:
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Android courses:
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Ruby on Rails courses:
https://lazyprogrammer.me/ruby-on-rails

Python courses:
https://lazyprogrammer.me/python

Big Data (Spark + Hadoop) courses:
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EVEN MORE COOL STUFF

Into Yoga in your spare time? Photography? Painting? There are courses, and I’ve got coupons! If you find a course on Udemy that you’d like a coupon for, just let me know and I’ll hook you up!

February 14, 2018

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January 24, 2018

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January 17, 2018

Historically, Windows users have had the most trouble installing deep learning, machine learning, data science, and AI libraries.

Just a few years ago this process would have taken you hours, if not days, to complete, if you completed it at all (as opposed to just giving up).

Nowadays, things are MUCH easier.

In this lecture, I walk you through how to install the following libraries on Windows:

• Numpy
• Scipy
• Matplotlib
• Pandas
• NLTK (for NLP)
• Scikit-Learn
• Tensorflow
• Theano
• Keras
• PyTorch
• CNTK
• OpenAI Gym
• OpenAI Gym Atari Extension
• ffmpeg (needed to save videos in OpenAI Gym)