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- 82% Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

$19.99Track price

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8.6/10 (Our Score)
Product is rated as #113 in category Machine Learning

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.

Instructor Details

Today, I spend most of my time as an artificial intelligence and machine learning engineer with a focus on deep learning, although I have also been known as a data scientist, big data engineer, and full stack software engineer. I received my masters degree in computer engineering with a specialization in machine learning and pattern recognition. Experience includes online advertising and digital media as both a data scientist (optimizing click and conversion rates) and big data engineer (building data processing pipelines). Some big data technologies I frequently use are Hadoop, Pig, Hive, MapReduce, and Spark. I've created deep learning models to predict click-through rate and user behavior, as well as for image and signal processing and modeling text. My work in recommendation systems has applied Reinforcement Learning and Collaborative Filtering, and we validated the results using A/B testing. I have taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Hunter College, and The New School. Multiple businesses have benefitted from my web programming expertise. I do all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies I've used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases I've used MySQL, Postgres, Redis, MongoDB, and more.

Specification: Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

Duration

15 hours

Year

2021

Level

Intermediate

Certificate

Yes

Quizzes

No

14 reviews for Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

4.6 out of 5
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  1. 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.

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  2. 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.

    Helpful(0) Unhelpful(0)You have already voted this
  3. Lior Sasson

    The Instructor is very clear and organized

    Helpful(0) Unhelpful(0)You have already voted this
  4. Sanpreet Singh

    Good to have this tutorial. Learned a lot and got some basic understanding of computer vision object detection with practical code.

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  5. 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.

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  6. Ashish Rakhit

    Yes. A good match

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  7. F Castelpoggi

    .

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  8. musa jahanghir

    Key code lines are discussed well first & memorably before coding detail & revisit with fuller context. Very sensible!

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  9. AndrewLi

    Yes, it fits me.

    Helpful(0) Unhelpful(0)You have already voted this
  10. Mohsen Ghazel

    So far so good!

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  11. 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?

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  12. Andreas P sch

    I like the way the instructor goes about promoting hands on coding.

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  13. Elad Cohen

    This course is much more clearer than many other articles in the field. I do recommend this course.

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  14. Ravikumar Balija

    most useful for me

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    Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
    Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

    $19.99

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