Today’s an exciting day for deep learning enthusiasts! The uber-popular deep learning MOOC, Fast.ai is launching its third version of Part 1 of the course. [Read more…]
In this post, I use General Adversarial Networks (GANs), specifically Wasserstein GANs to generate images based on three training sets. All three training sets are image-based and happen to feature tobacco products. As an avid cigar smoker, who works out of cigar shops quite a bit, it’s not difficult to see where the inspiration came from.
Since there are many excellent resources that provide a good general introduction to the theory of GANs, I will refrain from going into depth on the topic. To keep things simple, the general idea is to create two neural networks, one called a Generator and the other referred to as a Discriminator. The Generator creates fakes. The Discriminator passes judgment of whether the output of the Generator is a legitimate example of the class, by developing a data distribution (think model) and judging images based on that distribution.
One of the main problems that software developers often face when looking for a new opportunity is managing the signal-to-noise issue. Once we put ourselves “out there” and actively start searching, we can be bombarded by so many opportunities that it becomes really difficult to separate the wheat from the chaff.
This situation makes some job seekers dread hearing from recruiters and HR professionals. Since most opportunities will not be appealing, they often cringe whenever an HR rep contacts them. So what options do we have? Are we supposed to just “grin and bear it” every time we hear about a new position?
To be effective at lifestyle engineering, we need space in our lives, but if our lives are so jam-packed with family responsibilities, work requirements, and the demands of life that we feel constantly overwhelmed, then it will be very challenging to make good decisions about our lifestyle engineering options.
One of the best ways to fine-tune and test options is with a remote job. When you remove the daily commute, meaningless office chitchat, and mindless meetings, you are left with lots of free time on your hands. Along with the flextime that many remote gigs afford, you can now work when and where you want.
Welcome to Remote Coder. We help software developers optimize their lifestyle engineering. Those who write code for a living work in some of the most in-demand fields on the planet. The skills they’ve built took years of time and effort to develop. These are areas that many have tried to enter only to wash out.
For these reasons among others, developers should be in high demand. Why is it then that even in these highly selective and specialized fields that so many coding professionals are dissatisfied? Some love their jobs, of course, and some are able to literally live the dream, coding from a laptop on the beach, professionals who are so specialized that industry wage standards don’t apply to them.