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- 81% Tensorflow 2.0: Deep Learning and Artificial Intelligence

Tensorflow 2.0: Deep Learning and Artificial Intelligence

$24.99Track price

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8.9/10 (Our Score)
Product is rated as #21 in category Artificial Intelligence

Welcome to Tensorflow 2.0!

What an exciting time. It’s been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version.

Tensorflow is Google’s library for deep learning and artificial intelligence.

Deep Learning has been responsible for some amazing achievements recently, such as:

Generating beautiful, photo–realistic images of people and things that never existed (GANs)

Beating world champions in the strategy game Go, and complex video games like CS:GO and Dota 2 (Deep Reinforcement Learning)

Self–driving cars (Computer Vision)

Speech recognition (e.g. Siri) and machine translation (Natural Language Processing)

Even creating videos of people doing and saying things they never did (DeepFakes – a potentially nefarious application of deep learning)

Tensorflow is the world’s most popular library for deep learning, and it’s built by Google, whose parent Alphabet recently became the most cash–rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning.

In other words, if you want to do deep learning, you gotta know Tensorflow.

This course is for beginner–level students all the way up to expert–level students. How can this be?

If you’ve just taken my free Numpy prerequisite, then you know everything you need to jump right in. We will start with some very basic machine learning models and advance to state of the art concepts.

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: Tensorflow 2.0: Deep Learning and Artificial Intelligence

Duration

22 hours

Year

2022

Level

All

Certificate

Yes

Quizzes

No

23 reviews for Tensorflow 2.0: Deep Learning and Artificial Intelligence

4.2 out of 5
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  1. Shideh Almasian

    Great course, enjoyed very much!

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  2. Marcia

    The Teacher has a sexy voice?

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  3. Pratik Mitra

    As I previously learned machine learning, this course is really helping me a lot. Really easy to get along with all the concepts and implementation. This course is very well structured and the topics are to the point.

    Helpful(0) Unhelpful(0)You have already voted this
  4. Alfred Tiu

    Taking too long for introduction

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  5. Roberto J. Rodrigues

    Bom curso. Muito bom para iniciar.

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  6. Yordan Radev

    Still at the intro and seems to be excited and knowledgable but I get the impression this is a gateway course to promote his other courses. This is just my first impression though hope I am wrong and if I am I will make sure to leave a great review.

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  7. DR. SWAGATA SARKAR

    Excellent. I need more latest course links like nlp, ml, ai, deep learning and other latest course resources to my mail

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  8. Selvaraj Baskaran

    person who are more professionals or person who likes to understand the Neural Networks full concepts may look it into this Course Because its more widely worth for spending time with this course.Great thanks to this author.Actually while entering into this course Person must have an knowledge about ML and Dl

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  9. Soumyajit Samal

    Till now it seems completly the best choice i ever made to purchase this course. Hope they stand up to my expectations

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  10. Aditya Kumar

    It s good so far

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  11. Ali Sheikh

    Just a fantastic course all around! Lazy Programmer’s ability to breakdown the complex topics into bite size chunks which make sense is truly exceptional! He struck a perfect balance between building the mathematical intuition and coding skills. Thank you!

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  12. Solomon Adebayo

    Clear notes and explanations. Good coverage of subject.

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  13. Shankar Jagadeesan

    Excellent Instructor and course. The course content is comprehensive and my advise for students would be, plan to allocate some quality time if you want to complete this course. I will also recommend to solve the code examples by yourself, the same way the instructor recommends and if it fails one can always look at the posted solution by the instructor. Overall a 5 Star

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  14. Shivam Nigam

    I was a noob, now I am intermediate after this course.

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  15. Toni Piiroinen

    It seem’s good course even when I didn’t have any prior aknowledge of this subject.

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  16. Carlos Alejandro Jimenez Holmquist

    Great course, very complete and a great way to explain all the material

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  17. Carmen Adriana Martinez Barbosa

    The professor explains clearly.

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  18. Kevin Wong

    very good course to show Lazy Programme muscle but not good for beginner.

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  19. Oscar Jaldo Amigo

    Great course! It provides both practical and theorical background

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  20. Ricardo Guerreiro

    Too slow on redundant parts (always repeating the same sentences, eehhr!) and complaining about what people do wrong and too fast on the (hard) mathematical parts. The content is very complete but becomes too much time for too few juice.

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  21. Cesar Araujo

    Good material, but the instructor’s arrogant and rude style is too annoying. I couldn’t go halfway through the course. There are much better instructors and courses out there.

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  22. Naveen N Bhat

    Amazing practical course

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  23. Dhananjay Kumar

    The course is very good, which clears both theory and practical knowledge about the several deep learning topics, with the help of tensorflow (keras) Api. Explanation of the topics are awesome, loved it.

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    Tensorflow 2.0: Deep Learning and Artificial Intelligence
    Tensorflow 2.0: Deep Learning and Artificial Intelligence

    $24.99

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