Hello trend,
This is Satya Mallick from LearnOpenCV.com.
Deep Learning with Tensorflow and Keras is one of the most requested courses at OpenCV.org right up there with OpenCV for Beginners. We have been working on this course for a few months, and I am thrilled to announce that it will be available by the end of this year.
We are giving our Kickstarter backers a chance to purchase this course as an ADD ON, or as part of a combo - CV MASTER and CV MASTER EDGE. Click on the link below if you are interested
You may need these videos if you are not familiar with the Kickstarter interface.
- How to purchase Deep Learning with Tensorflow and Keras WITHOUT backing OpenCV for Beginners,
- How to update an existing pledge to include Deep Learning with Tensorflow as an ADD ON.
If you are not interested in receiving notifications about this Kickstarter campaign, you can opt out with a single click on the link below.
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From Basics to Mastery : Pathemata Mathemata
We have a simple two part teaching philosophy
- Getting started should be fun and easy.
- Mastery demands sweat, blood, and tears.
In the Getting Started phase, we focus on creating the spark of interest, that will turn into a raging fire. For beginners, this phase comes with irrational exuberance. People overestimate what they can achieve in a month.
Once, we are past the beginner's courses, we guide you along a path to mastery through our courses that take 3-4 months each for a committed student. Slowly but steadily important concepts start sinking in. Through assignments and projects, you start learning about nuances of the problems. Real world problems are hard to solve, and require bringing in knowledge from different domains of computer vision.
The Greek phrase "Pathemata Mathemata" means "learning through pain and suffering." Mastery comes through sustained and painful effort for months and sometimes years.
The path to mastery has one pleasant surprise. People underestimate what they can achieve in one year.
Why? Because knowledge and expertise acquired through relentless effort goes through a phase of compounding growth. Your expertise in solving problems at the end of one year is not double but probably four times your expertise in six months.
We added Deep Learning with Tensorflow and Keras to this Kickstarter campaign to help people who are committed to this path to mastery. Quite appropriately, the combos that have all our course materials have the word MASTER in them.
Deep Learning with Tensorflow and Keras
I am sure you have a ton of questions about this new course. So, let me try to answer them in a Q&A format.
What is Deep Learning?
Deep Learning simply means using neural networks to solve AI problems. Since 2012, deep learning has produced many state of the art results in computer vision, and so it is a really big deal.
What are Tensorflow, Keras, and PyTorch?
Tensorflow is the most popular deep learning framework. It open source, and developed by Google.
Keras is a set of APIs written on top of Tensorflow to make it easy to use.
PyTorch is a competing open source deep learning framework developed by Facebook. It's popularity has been soaring both in academia and the industry because it is considered more "pythonic" and easy to use.
How is Deep Learning with Tensorflow and Keras different from Deep Learning with PyTorch currently offered by OpenCV.org?
The theory part covered in both courses will be very similar. The code for data handling, training, testing, deployment etc. will be completely different as they are specific to the framework used. There will be some overlap in applications covered, but we will add many new applications in the new course to keep it interesting for people who have already taken Deep Learning with PyTorch.
Is the new course useful for people who have already taken Deep Learning with PyTorch?
Deep Learning with PyTorch is a great first course, and PyTorch is indeed a framework rapidly gaining market share at a stunning pace. That said, Tensorflow (with Keras) is still the most popular deep learning library. So, I recommend you take the new course for two reasons 1) It will refresh your theory, and introduce you to some new applications 2) With just a bit of extra effort, you learn both frameworks which in turn opens up a bigger job market for you.
What will be covered in Deep Learning with Tensorflow and Keras?
We are still in the process of defining the details of the course. But it will be designed on similar lines as our PyTorch course. You can see the curriculum here.
Satya
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