Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
$109.99 Track price
Latest update: Instead of SSD, I show you how to use RetinaNet, which is better and more modern. I show you both how to use a pretrained model and how to train one yourself with a custom dataset on Google Colab.
This is one of the most exciting courses I ve done and it really shows how fast and how far deep learning has come over the years.
When I first started my deep learning series, I didn t ever consider that I d make two courses on convolutional neural networks.
I think what you ll find is that, this course is so entirely different from the previous one, you will be impressed at just how much material we have to cover.
Let me give you a quick rundown of what this course is all about:
We re going to bridge the gap between the basic CNN architecture you already know and love, to modern, novel architectures such as VGG, ResNet, and Inception (named after the movie which by the way, is also great!)
We re going to apply these to images of blood cells, and create a system that is a better medical expert than either you or I. This brings up a fascinating idea: that the doctors of the future are not humans, but robots.
Courses : 22
Specification: Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
14 reviews for Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
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Yongjin Guo –
Very good course introducing advanced topics like VGG, transfer learning and the modern GAN. The instructor emphasizes coding as the must way to master techniques. It is true! I love the style though I am a starter in this field.
James Crosbie –
This guy knows his stuff!! There’s always so much detail in the course that you need to spend the time going through the lectures carefully not a course you can just run through. The explanations are clear and the code is very efficient. I’ve learnt so much. Highly recommended.
Lior Sasson –
The Instructor is very clear and organized
Sanpreet Singh –
Good to have this tutorial. Learned a lot and got some basic understanding of computer vision object detection with practical code.
Vasilis Mpletsos –
I bought this class for the SSD content and it was not as good i have expected with no code. At least i found GANs very interesting and this fixed my feelings about this course.
Ashish Rakhit –
Yes. A good match
F Castelpoggi –
musa jahanghir –
Key code lines are discussed well first & memorably before coding detail & revisit with fuller context. Very sensible!
Yes, it fits me.
Mohsen Ghazel –
So far so good!
Pedro Alarc n Barrio –
El curso esta fatalmente explicado. Los conceptos y sobre todo los ejemplos parecen que est n cogidos de otros autores, mezclando versiones de tensorflow y entornos de desarollo muy diferentes. Por ejemplo esta usando keras explicando un ejemplo f cil y se va a tensorflow 1.0 para explicar uno mucho mas complicado, sin llegar a nada y encima que recomienda que el esfuerzo lo hagas tu. Para que pagar por un curso si no aporta nada?
Andreas P sch –
I like the way the instructor goes about promoting hands on coding.
Elad Cohen –
This course is much more clearer than many other articles in the field. I do recommend this course.
Ravikumar Balija –
most useful for me