YOLOR Starter is completed :)

YOLOR PRO is completed :)

YOLOR Apps is 70% Completed. The remaining will be completed between September and December 2021. 

➤ For the Once off courses YES! It’s yours forever!

➤ You’ll get an email from me in which I will give you access to the courses. Check your spam folder if you do not find this email. Whitelist the email, so you can receive technical support and updates.

➤Ensure that the email you register with is the same email address that you paid with.

➤If you do not find email, you can go to www.augmentedstartups.com/library to access your courses. 

➤ You are looking to be spoon fed (you ONLY do what’s covered in a course).

➤ You’re unemployed (unless you have lots of money saved up where you can comfortably join the course. You’re NOT gonna get far if you’re under pressure).

➤ You’re in debt (join the course later once you’re out of it).

➤ You want to put the minimum amount of work to get the maximum results.

➤ You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.

➤ You are committed. This course is about developing core skills that will stay with you a lifetime and will be the foundation for your success for YEARS to come.

➤ You’re someone that believes in taking action. You watch the material and follow along step-by-step.

➤ Are a computer vision developer that utilizes and are eager to level-up your skills.

➤ Have experience with machine learning and want to break into neural networks or AI for visual understanding.

➤ Are a scientist looking to apply deep learning + computer vision algorithms to your research.

➤ Are a university student and want more than your university offers (or want to get ahead of your class).

➤ Utilize computer vision algorithms in your own projects but have yet to try deep learning.

➤ Used AI in projects before, but never in the context of analysis of visual perception.

➤ Write Python/ML code at your day job and are motivated to stand out from your coworkers.

➤ Are a "AI hobbyist" who knows how to program and wants to tinker with DIY projects using computer vision. 

➤ You understand that this requires hard work and patience to get the right skills. You understand that you’re going to get any results overnight.

➤ You’re someone that believes in taking action. You watch the material and then you actually APPLY it.

➤This is THE ONLY YOLOR Course on this Planet!! You wont find this material anywhere on the internet.

➤ Hiring a mentor who charges you $50 an hour. Getting 3 hours of training from them per week would cost you about $600 a month. Its also very challenging to find an AI mentor who will be willing to assist.

➤ This course will save you a lot in time from figuring it out by yourself. Time is money and is especially valuable since we have a limited time on this planet. Do you want to waste it wreaking your brains debugging and figuring this out by yourself?

➤ What would this course be worth to you if it got you even one client? Or what would be your return if you landed a job as an Computer Vision developer?

➤ Some of my material is free… But I charge a premium price for the very best stuff.

➤ Lastly, this course is so good you can’t afford to NOT have it.

➤ You’ll struggle in the beginning but if you work hard, the payoff will be so worth it.

➤Don't worry; you won't get swamped by tons of theory and complex equations.

➤We'll start off with the basics where you'll learn in a fun, practical way with code. 

➤ We provide you with technical support team to help you when you get stuck on any particular lesson within the scope of the course

➤You'll be an YOLOR Object Detecting ninja in no time, and be able to graduate to the more advanced content.

➤This course isn't just for beginners — there's advanced content in here too. 

➤You'll discover how to train your own custom object detectors using AI.

➤You'll build a custom framework that can be used to train very deep architectures using YOLOR.

➤ I'll even show you my personal workflow blueprint that I use to determine which AI techniques to apply when confronted with a new problem.

➤Best of all, these solutions and tactics can be directly applied to your current job, research, and projects.

That question is best answered by sharing some statistics with you:

1. It takes anywhere between 40-70 man-hours to create each tutorial on Augmented Startup
2. That's about $2000-3500 USD for each tutorial
3. I have over 250  video tutorials published on Augmented Startups
4. Which means that I'm already offering $500,000+ worth of content for free

You may not realize that I have a team that helps me answer question, and do many other "behind the scenes" tasks for each video tutorial I publish. 

Each tutorial post costs ~$2000-3,500 USD to produce. Over the years, I made up that cost through course sales and sponsorships. I want you to have every tutorial for free, so to avoid a pay-wall to my content. This is a way viewers can support my blog while getting a world-class education.

It's the only sustainable business model that guarantees I can continue to produce high-quality material for you for years to come. I hope you understand and see the value in what myself and Augmented Startups offers.

➤ I personally use the NVIDIA 1080Ti on a daily basis for training my own AI models. Alternatively, I would recommend using Amazon EC2 and their GPU instances (particularly p2.* and g2.*) in the cloud to train your networks if you do not want to purchase physical hardware.

➤You can follow along using Google Colab with FREE Cloud GPU.

It is possible to execute the model on a CPU without a problem.  If you are using a GPU will dramatically speed up the network training process. Its best to use an NVIDIA GPU as we use the CUDA libraries which are only compatible with the NVIDIA brand. So please ensure that you are using a CUDA support NVIDIA GPU.  

➤ First of all, Python is awesome. It is an easy language to learn and hands-down the best way to work with deep learning algorithms.

➤ The simple, intuitive syntax allows you to focus on learning the basics of deep learning, rather than spending hours fixing crazy compiler errors in other languages.

➤If you would just like to learn the basics of YOLOR, then you can enroll just in the Starter Bundle.

➤If you want to be the best and acquire comprehensive knowledge in YOLOR, build Web Apps and Multi-Object Tracking, then the PRO version will suit you.

You should choose a bundle based on (1) how in depth you want to study AI in computer vision & visual recognition and (2) your particular budget. 

➤You can run this on almost any Operating Systems:

• Windows 10/11
• Linux
• Mac

➤ On Google Colab

➤No - Why reinvent the wheel, this course focuses on the implementation of YOLOR to get you up and running and solving real-world problems. We do NOT build the network layer-by-layer.

➤ If you have any other questions, please send me a message via Facebook Messenger, and I'll get back to you ASAP.

https://augmentedstartups.info/FBMessenger

➤ I am also on WhatsApp - www.augmentedstartups.info/whatsapp

Yes, if you have purchased YOLOR PRO you will receive a legitimate and signed certificate upon completion of the course and assignments. You will be able to present this to your future or present employer or client.

Currently we do not offer refunds. This is because we are building a COMMUNITY of ACTION-TAKERS and we have found that many people simply purchase products/courses and then refund before the trial period. We only want those who are COMMITTED to success inside this community

Also since this course offers non-tangible, irrevocable goods we do not provide refunds after the product is purchased, which you acknowledge prior to purchasing any product on the Website. Please make sure that you've carefully read service description before making a purchase.

Contacting us

If you would like to contact us concerning any matter relating to this Refund Policy, you may send an email to [email protected]