# NEW Deep Learning Course: GANs and Variational Autoencoders

August 1, 2017

You asked for it, and it’s here!

I am pleased to announce my latest course:

Deep Learning: Variational Autoencoders and GANs

GANs have been called one of the most interesting developments in deep learning in 2016.

This is coming from Yann LeCun – one of the grandmasters of deep learning.

Most of you already know why GANs are cool – that’s why you’ve been asking me for this course.

But just in case you don’t:

GANs are notable for being able to produce extremely high-quality, high-resolution, sharp samples.

We’ve had neural networks (and non-deep learning ML algorithms) that can generate samples for decades… but none come close to the quality of images generated by GANs.

This is some Jason Bourne-level stuff… you know how they “enhance” a tiny / blurry image from some government spy camera?

Guess what can actually do that? GANs.

Fun fact: a group of Harvard PhDs JUST did an AMA on Reddit this week. Check out what one had to say about Unsupervised Deep Learning:

There are a ton of more cool applications that we’ll discuss in the course like reinforcement learning. This stuff is basically the latest-and-greatest in deep learning.

Why variational autoencoders and not just GANs? Both of these neural networks fall into the category of “deep neural network samplers” – they both attempt to learn the structure of data in some way, which you can then use to generate new data that mimics what was learned.

I think variational autoencoders are super cool because they combine 2 of my favorite subjects: deep learning and Bayesian machine learning.

They were also invented at approximately the same time and are always mentioned in the context of one another, so in some sense they belong in the same “family” of algorithms.

Another cool thing about this course: a surprising lack of prerequisites! Technically, this will be Deep Learning part 8 and Unsupervised Deep Learning part 2. But, you won’t need to know anything from Deep Learning part 5, 6, or 7, nor Unsupervised Deep Learning part 1 (which is also Deep Learning part 4). You will need to know how to build convolutional neural networks and have a working understanding of Bayes classifiers, but that’s pretty much it! Not that learning how to build convolutional neural networks was an easy place to get to, but now that you’re there, you can breathe easy.

Now, this course is going to be available to all students on Udemy, but if you’re receiving this email, that means you’ve already taken a course of mine, which is why I am offering you something exclusive: The VIP version of this course.

It will ONLY be available to students who use this link, which applies a special coupon that I can check that you used:

https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=IAMAVIP

What’s in it?

VIP EXTRAS

Here’s what you get if you sign up for the VIP version of the course:

Because I am such a geek, I decided to use LaTeX to create short, concise tutorials for both the GAN and variational autoencoder.

These will be great to help you review the material and ingest it in a different format, no doubt increasing your understanding of what you learn in the course.

You can take it with you on the train and read it at your leisure!

But that’s not all…

One of the COOLEST applications of neural networks that just “learn the structure of data” (as opposed to trying to assign labels to it) is STYLE TRANSFER.

Ever wanted to know what the New York City skyline would look like if it were painted by Picasso?

Now you can find out!

Style transfer networks are neural networks that learn the “essence” or “style” of one image, and then have the ability to apply that same style to new images.

I find this to be one of the most FASCINATING applications of using deep learning to learn the structure of data.

Of course… for most of us, such a neural network would take around 4 months to train…

So here’s what you get for signing up for the VIP special:

A SUPER SIMPLE script you can just run, which automatically downloads pre-trained neural network weights for 3 different styles (Dora Maar, Rain Princess, and Starry Night), which you can then use to apply those styles to ANY input image within SECONDS.

The neural network accepts any size input image because all the weights are convolutional filters!

How cool is that?

And it’s in Tensorflow, so all you Windows users out there don’t feel left out. =)

And remember: these VIP specials are only available IF you use the VIP COUPON (IAMAVIP) – so make sure you use the coupons / links in this email, otherwise, you will not get the VIP bonuses!

https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/?couponCode=IAMAVIP

Quick note: If you don’t receive the VIP extras right away, don’t worry. I will be going through the list myself, you WILL get them.

#deep learning #gans #unsupervised learning #variational autoencoders

# $10 Deep Learning Courses (+more) July Special part 2! July 24, 2017 Since I am still busy hacking away at my next course, we are going to do another HUGE sale. ALL courses on Udemy are now$10. Take this opportunity to grab as many courses as you can because you never know when the next sale is going to be!

As usual, I’m providing $10 coupons for all my courses in the links below. Please use these links and share them with your friends! You can also just type in the coupon code “JUL456”. The$10 promo doesn’t come around often, so make sure you pick up everything you are interested in, or could become interested in later this year. The promo goes until July 31. Don’t wait!

At the end of this post, I’m going to provide you with some additional links to get machine learning prerequisites (calculus, linear algebra, Python, etc…) for $10 too! If you don’t know what order to take the courses in, please check here: https://deeplearningcourses.com/course_order Here are the links for my courses: Deep Learning Prerequisites: Linear Regression in Python https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=JUL456 Deep Learning Prerequisites: Logistic Regression in Python https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=JUL456 Deep Learning in Python https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=JUL456 Practical Deep Learning in Theano and TensorFlow https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=JUL456 Deep Learning: Convolutional Neural Networks in Python https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=JUL456 Unsupervised Deep Learning in Python https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=JUL456 Deep Learning: Recurrent Neural Networks in Python https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=JUL456 Advanced Natural Language Processing: Deep Learning in Python https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=JUL456 Advanced AI: Deep Reinforcement Learning in Python https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=JUL456 Easy Natural Language Processing in Python https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=JUL456 Cluster Analysis and Unsupervised Machine Learning in Python https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=JUL456 Unsupervised Machine Learning: Hidden Markov Models in Python https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=JUL456 Data Science: Supervised Machine Learning in Python https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=JUL456 Bayesian Machine Learning in Python: A/B Testing https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=JUL456 Ensemble Machine Learning in Python: Random Forest and AdaBoost https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=JUL456 Artificial Intelligence: Reinforcement Learning in Python https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=JUL456 SQL for Newbs and Marketers https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=JUL456 PREREQUISITE COURSE COUPONS And last but not least,$10 coupons for some helpful prerequisite courses. You NEED to know this stuff before you study machine learning:

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/2prFQ7o
Probability (option 2) http://bit.ly/2p8kcC0
Probability (option 3) http://bit.ly/2oXa2pb
Probability (option 4) 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!

And I’ve got sales for everything:

Remember, these links will self-destruct on July 31 (7 days). Act NOW!

# $10 Deep Learning Courses (+more) July Special! July 11, 2017 Since I am still busy hacking away at my next course, we are going to do another HUGE sale. ALL courses on Udemy are now$10. Take this opportunity to grab as many courses as you can because you never know when the next sale is going to be!

As usual, I’m providing $10 coupons for all my courses in the links below. Please use these links and share them with your friends! You can also just type in the coupon code “JUL123”. The$10 promo doesn’t come around often, so make sure you pick up everything you are interested in, or could become interested in later this year. The promo goes until July 20. Don’t wait!

At the end of this post, I’m going to provide you with some additional links to get machine learning prerequisites (calculus, linear algebra, Python, etc…) for $10 too! If you don’t know what order to take the courses in, please check here: https://deeplearningcourses.com/course_order Here are the links for my courses: Deep Learning Prerequisites: Linear Regression in Python https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=JUL123 Deep Learning Prerequisites: Logistic Regression in Python https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=JUL123 Deep Learning in Python https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=JUL123 Practical Deep Learning in Theano and TensorFlow https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=JUL123 Deep Learning: Convolutional Neural Networks in Python https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=JUL123 Unsupervised Deep Learning in Python https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=JUL123 Deep Learning: Recurrent Neural Networks in Python https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=JUL123 Advanced Natural Language Processing: Deep Learning in Python https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=JUL123 Advanced AI: Deep Reinforcement Learning in Python https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=JUL123 Easy Natural Language Processing in Python https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=JUL123 Cluster Analysis and Unsupervised Machine Learning in Python https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=JUL123 Unsupervised Machine Learning: Hidden Markov Models in Python https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=JUL123 Data Science: Supervised Machine Learning in Python https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=JUL123 Bayesian Machine Learning in Python: A/B Testing https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=JUL123 Ensemble Machine Learning in Python: Random Forest and AdaBoost https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=JUL123 Artificial Intelligence: Reinforcement Learning in Python https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=JUL123 SQL for Newbs and Marketers https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=JUL123 RECENT COURSE UPDATES You guys know I’m always working hard to improve my courses with new and fresh content. Here’s what I’ve done recently: – Hidden Markov Models: added Tensorflow implementation and improved Theano implementation – Hidden Markov Models: the Tensorflow scan function – Unsupervised Deep Learning: added Tensorflow version of Autoencoder, RBM, and Unsupervised Pre-Training – Deep Learning in Python (pt1): How to interpret the weights – Deep Learning in Theano / Tensorflow (pt2): How to improve your Theano and Tensorflow skills – Deep Learning in Theano / Tensorflow (pt2): Some ideas about combining big data + deep learning PREREQUISITE COURSE COUPONS And last but not least,$10 coupons for some helpful prerequisite courses. You NEED to know this stuff before you study machine learning:

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/2prFQ7o
Probability (option 2) http://bit.ly/2p8kcC0
Probability (option 3) http://bit.ly/2oXa2pb
Probability (option 4) http://bit.ly/2oXbZSK

Remember, these links will self-destruct on July 20 (9 days). Act NOW!

# AI news of the week: Tensorflow Object Detection API and Free Online Data Science Books

July 11, 2017

Tensorflow Object Detection API

Summary: Creating accurate machine learning models capable of localizing and identifying multiple objects in a single image remains a core challenge in computer vision. The TensorFlow Object Detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. At Google we’ve certainly found this codebase to be useful for our computer vision needs, and we hope that you will as well.

TechCrunch Article

Free Online Data Science Books

The title says they are “mathematics” textbooks but there’s tons of material for data scientists (who do lots of math) too.

Particularly relevant: probability, statistics, linear algebra, graph theory, inference, learning algorithms, convex optimization, statistical signal processing, and more!

# Deep Learning and Machine Learning Courses $10 Special June 2017 June 14, 2017 Today, Udemy has decided to do yet another AMAZING$10 promo.

As usual, I’m providing $10 coupons for all my courses in the links below. Please use these links and share them with your friends! The$10 promo doesn’t come around often, so make sure you pick up everything you are interested in, or could become interested in later this year. The promo goes until June 21. Don’t wait!

At the end of this post, I’m going to provide you with some additional links to get machine learning prerequisites (calculus, linear algebra, Python, etc…) for $10 too! If you don’t know what order to take the courses in, please check here: https://deeplearningcourses.com/course_order Here are the links for my courses: Deep Learning Prerequisites: Linear Regression in Python https://www.udemy.com/data-science-linear-regression-in-python/?couponCode=JUN456 Deep Learning Prerequisites: Logistic Regression in Python https://www.udemy.com/data-science-logistic-regression-in-python/?couponCode=JUN456 Deep Learning in Python https://www.udemy.com/data-science-deep-learning-in-python/?couponCode=JUN456 Practical Deep Learning in Theano and TensorFlow https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/?couponCode=JUN456 Deep Learning: Convolutional Neural Networks in Python https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/?couponCode=JUN456 Unsupervised Deep Learning in Python https://www.udemy.com/unsupervised-deep-learning-in-python/?couponCode=JUN456 Deep Learning: Recurrent Neural Networks in Python https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/?couponCode=JUN456 Advanced Natural Language Processing: Deep Learning in Python https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=JUN456 Advanced AI: Deep Reinforcement Learning in Python https://www.udemy.com/deep-reinforcement-learning-in-python/?couponCode=JUN456 Easy Natural Language Processing in Python https://www.udemy.com/data-science-natural-language-processing-in-python/?couponCode=JUN456 Cluster Analysis and Unsupervised Machine Learning in Python https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/?couponCode=JUN456 Unsupervised Machine Learning: Hidden Markov Models in Python https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/?couponCode=JUN456 Data Science: Supervised Machine Learning in Python https://www.udemy.com/data-science-supervised-machine-learning-in-python/?couponCode=JUN456 Bayesian Machine Learning in Python: A/B Testing https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/?couponCode=JUN456 Ensemble Machine Learning in Python: Random Forest and AdaBoost https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/?couponCode=JUN456 Artificial Intelligence: Reinforcement Learning in Python https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/?couponCode=JUN456 SQL for Newbs and Marketers https://www.udemy.com/sql-for-marketers-data-analytics-data-science-big-data/?couponCode=JUN456 And last but not least,$10 coupons for some helpful prerequisite courses. You NEED to know this stuff before you study machine learning:

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/2prFQ7o
Probability (option 2) http://bit.ly/2p8kcC0
Probability (option 3) http://bit.ly/2oXa2pb
Probability (option 4) http://bit.ly/2oXbZSK

Remember, these links will self-destruct on June 21 (7 days). Act NOW!