Create and learn algorithm from deep learning course it includes templates and data science experts.
Artificial intelligence is rapidly increasing. That's no doubt about it. Millions of miles are clocked up by self-driving vehicles, IBM Watson diagnoses patients better than doctors' armies, and Google Deepmind's AlphaGo beats Go World Champion - a game where intuition plays a key role.
But the more AI progresses, the more complicated the problems that need to be solved become. And only Deep Learning can solve such complex issues, and that's why Artificial Intelligence is at the heart of it.
Why A-Z Deep Learning?
Here are five reasons why we agree that Deep Learning A-ZTM is very distinct and stands out from the multitude of other training programmes out there:
1. Reliable System
The first and most critical thing we have concentrated on is providing a robust framework to the course. Deep Learning is very large and complex and you need a simple and global view of it to navigate.
That's why the tutorials were divided into two volumes, reflecting Deep Learning's two fundamental branches: Supervised Deep Learning and Unsupervised Deep Learning. We find that this is the best framework for mastering Deep Learning, with each volume concentrating on three different algorithms.
2. Templates FOR Intelligence
Too many lessons and books are just bombarding you with the theory, the math, the coding... But they forget to describe the most important part, perhaps: why you do what you do. And that's how different this course is. For the principles behind Deep Learning algorithms, we concentrate on creating an intuitive.
3. Interesting PROJECTS
Are you tired of courses that are based on over-used, redundant data sets?
We will work on Real-World datasets within this class to address Real-World business problems. (The dull iris or digit classification datasets that we see in each course certainly are not). We'll answer six real-world problems in this course:
Artificial Neural Networks to address an issue with Consumer Churn
Convolutional Neural Image Recognition Networks
To forecast stock prices, recurrent neural networks
Self-Organizing Fraud Investigation Maps
To build a Recomender Scheme, Boltzmann Machines
4. HANDS-ON CODING
We code together with you in the Deep Learning A-ZTM. With a blank page, every realistic tutorial begins and we write up the code from scratch. You will follow and understand exactly how the code comes together and what each row means in this way.
Furthermore, we will arrange the code purposefully in such a way that you can download it and apply it to your own projects. In addition, to customise the algorithm to your needs, we clarify step-by-step where and how to change the code to insert YOUR dataset, to get the output you are after.
5. Help IN-COURSE
Have you ever taken a course or read a book where the author has questions but is unable to reach you?
Oh, it's different this course. We are completely dedicated to making this the planet's most disruptive and powerful Deep Learning course. With that comes an obligation to be there regularly when you need our assistance.
In fact, because we still need to eat and sleep physically, we have set up a team of professional data scientists to help us out. If you ask a question, you will get an answer from us within a period of 48 hours.
