Last Chance to meet your 2018 New Years Resolutions!
Earlier this year we had a New Years sale with all courses 90% off. I’ve been getting a lot of emails from those who missed it, those who just joined, etc. Don’t worry – you have one more chance to meet your New Years 2018 goals!
In 2018 and beyond, AI will continue to rise in importance, and the best jobs, the best new technologies – will absolutely depend on AI to have a competitive edge in the marketplace.
For the next 2 days, Udemy is extending its New Years sale, and ALL courses on the site 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: BLASTOFF2018.
For prerequisite courses and all other courses, follow the links at the bottom.
Earlier this week, I mentioned Udemy was doing a promotion on Tech courses only (if you were signed up for my newsletter you would have gotten the announcement). I’ve just heard news that they’ve opened up the $10 sale to ALL courses for the next 3 days only!
What this means: All my courses will continue to be on sale for $10 (just click the below links). But in addition, you can find other courses (including calculus and probability prerequisites) for $10 too!
With some time off, now is the PERFECT time to catch up on your deep learning / machine learning / data science skills. It’s almost 2018 and AI is rising faster than ever.
What better way than to grab all the deep learning courses you’ll ever want to take, for just $10?
Don’t forget, this is the LOWEST possible price on Udemy – get these courses NOW. We really don’t know when the next big sale is going to be.
If you want to type in the coupon code manually, it’s: WINTER2017 (remember, this is only for my courses). However, the coupon codes are included automatically in the links below.
This sale lasts until Dec. 21 (3 days). Don’t wait!
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!
Remember, these links will self-destruct on December 21 (3 days). Act NOW!
If you’ve been following my updates, you may have noticed that I’ve been hard at work doubling the size of my course, “Deep Learning part 2”, otherwise known as “Practical Deep Learning in Theano and Tensorflow”.
I’ve since renamed the course to “Modern Deep Learning in Python” and I am officially re-launching it today!
At this point, I have completed all the major updates I’ve had in my pipeline: extending the modern regularization section, adding batch normalization, Adam, and more code for other modern libraries like Keras, PyTorch, CNTK, and MXNet.
As part of this relaunch, I am releasing a VIP version of this course.
What do you get?
Well, in addition to the HOURS of free content I’ve just added to the course, you may have heard of Tensorflow’s new Estimator API.
It was released just a few months ago.
Why is it better?
Greatly simplifies machine learning programming
No need to deal with Graphs or Sessions
Encapsulates training, evaluation, prediction, and exporting models
Provides standard models so you don’t have to write any of the code yourself
You may have noticed that writing Tensorflow code can be quite repetitive. We need to define each layer, combine the layers to calculate the output, create a loss function, create an optimizer, initialize the variables, run the optimizer, plot the loss, and so on.
All “boilerplate” stuff (although helpful to repeat if you are in the process of learning Tensorflow).
But while the Estimator API simplifies machine learning programming, it is not necessarily easy. And hence, I’ve written a 28-page tutorial to teach you how to use it from the ground up.
We start out with the Sci-Kit Learn API, and gradually build on those ideas to familiarize ourselves with the new Estimator API.
We go through a FULL CODE example on a dataset NEVER-BEFORE SEEN in my courses. Some new data wrangling techniques will be taught, in particular: the “hashing trick” and how to create embeddings instead of one-hot encoding categorical variables.
[Note: make SURE you use the coupon code IAMAVIP2 – those who do not use the code will not get the VIP material!]
Now I realize that a lot of you might already be signed up for this course. That means, you get all the updated content for free and have been seeing the updates come through as I’ve added them. Woohoo!
So, if you are already a student of Modern Deep Learning in Python and you would like to access the VIP stuff, get it now! This price won’t last.
To be sure: I still have TONS of stuff I still want to add to this course and my other courses. So much that sometimes I wonder how I’m going to get it all done! If you support this effort and you want to see MORE of it in the future, please do consider getting the VIP version of this course. I am very thankful for all the support!
Note: if you order the VIP version of the course through Udemy, you should receive a link to the VIP material within 24 hours of purchase in your message inbox. So don’t forget to check your messages! Shoot me a message if you haven’t got your VIP material by that time.