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TensorFlow 2.0 Practical Advanced (Udemy.com)

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects

4.2
356 reviews

Created by: Prof. Ryan Ahmed, PhD, MBA

Last updated June 2024

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What you will learn

  • Build, train, test and deploy Advanced Artificial Neural Networks (ANNs) models using Googles newly released TensorFlow 2.0.
  • Understand the underlying theory and mathematics behind Generative Adversarial Neural Networks (GANs).
  • Apply revolutionary GANs to generate brand new images using Keras API in TF 2.0.
  • Understand the underlying theory and mathematics behind Auto encoders and Variational Auto Encoders (VAEs).
  • Train and test Auto-Encoders to perform image compression and de-noising using Keras API in TF 2.0.
  • Understand the underlying theory and mathematics behind DeepDream algorithm. Develop, train, and test State-of-the art DeepDream algorithm to create AI-based art masterpieces using Keras API in TF 2.0!
  • Understand the intuition behind Long Short Term Memory (LSTM) Recurrent Neural Networks (RNNs).
  • Train Long Short Term Memory (LSTM) networks to generate new Shakespeare-style text using Keras API in TF 2.0!

How it compares

Against the other 126 rated Udemy courses in Deep Learning on CourseDuck:

  • Rating4.2 out of 5higher than 10% of them
  • Reviews356#77 of 127 by number of reviews
  • Length12.6 hourslonger than 60% of them
  • Last updatedJune 2024earlier than 55% of them

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Course Description

Google has recently released TensorFlow 2.
0 which is Googles most powerful open source platform to build and deploy AI models in practice. Tensorflow 2.
0 release is a huge win for AI developers and enthusiast since it enabled the development of super advanced AI techniques in a much easier and faster way.
The purpose of this course is to provide students with practical knowledge of building, training, testing and deploying Advanced Artificial Neural Networks and Deep Learning models using TensorFlow 2.
0 and Google Colab. This course will cover advanced, state-of-theart AI models implementation in TensorFlow 2.
0 such as DeepDream, AutoEncoders, Generative Adversarial Networks (GANs), Transfer Learning using TensorFlow Hub, Long Short Term Memory (LSTM) Recurrent Neural Networks and many more. The applications of these advanced AI models are endless including new realistic human photographs generation, text translation, image de-noising, image compression, text-to-image translation, image segmentation, and image captioning.
The global AI and machine learning technology sectors are expected to grow from $1.
4B to $8.
8B by 2022 and it is predicted that AI tech sector will create around 2.
3 million jobs by 2021. The technology is progressing at a massive scale and being adopted in almost every sector. The course provides students with practical hands-on experience in training Advanced Artificial Neural Networks using real-world dataset using TensorFlow 2.
0 and Google Colab. This course covers several technique in a practical manner, the projects include but not limited to: Develop, train, and test State-of-the art DeepDream algorithm to create AI-based art masterpieces!
Implement revolutionary Generative Adversarial Networks known as GANs to generate brand new images.
Develop Long Short Term Memory (LSTM) networks to generate new Shakespeare-style text!
Deploy AI models in practice using TensorFlow 2.
0 Serving.
Apply Auto-Encoders to perform image compression and de-noising.
Apply transfer learning to transfer knowledge from pre-trained networks to classify new images using TensorFlow 2.
0 Hub.
The course is targeted towards students wanting to gain a fundamental understanding of how to build, train, test and deploy advanced models in Tensorflow 2.
0. Basic knowledge of programming and Artificial Neural Networks is recommended. Students who enroll in this course will master Advanced AI and Deep Learning techniques and can directly apply these skills to solve real world challenging problems.
Who this course is for:
Data Scientists who want to apply their knowledge on Real World Case StudiesAI DevelopersAI Researchers
Read More All Levels All Levels product length iconTime: 12.6h

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Instructor Details

Prof. Ryan Ahmed, PhD, MBA

Ryan Ahmed is abest-selling Udemy instructorwhois passionate about education and technology. Ryan's mission is to make quality education accessible and affordable to everyone.Ryanholds a Ph.D.degree in Mechanical Engineeringfrom McMaster*University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Masters of Applied Sciencedegree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and anMBA in Finance from the DeGroote School of Business.
Ryanheld several engineering positions at Fortune 500 companies globally such as SamsungAmericaand Fiat-Chrysler Automobiles (FCA) Canada.Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 200,000+ students globally.He has over 15 published journal and conference research papers on state estimation, AI, Machine learning, battery modeling and EVcontrols. Heisthe co-recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA.
Ryan isaStanford Certified Project Manager (SCPM), certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE). He is alsothe programCo-Chair at the 2017 IEEE Transportation and Electrification Conference (iTEC17) in Chicago, IL, USA.
* McMaster University is one of only four Canadian universities consistently rankedin the to

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Reviews

4.2

356 ratings on Udemy

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By Ali Qaiser Syed on 11/14/2020

Course is very good to develop intuition about the Deep learning using TensorFlow, that's what they were intending to. projects are good can be used for other purposes. The course also fire-up one's craving to learn the real math behind these wonderful deep learning domains

By Adam Melhuish on 11/7/2020

This is a good course. It is a little haphazard in parts, with a little fine tuning it could be excellent

By Pavan Kotha on 10/21/2020

Would have been better if the year of release of the course was included in the description. In the current DL/AI world, technologies are rapidly evolving even within an year

By manan chopra on 10/12/2020

Most of the examples are straight out of tensorflow website and the instructor doesn't really go in any detail why its done that way.

By Ryszard Kudlicki on 8/27/2020

The course helped me a lot in understanding the basics of neural networks. The course is conducted with great knowledge of the subject. All the Google Colab examples worked very well.
best regards
Ryszard Kudlicki

By Edwin Tan Pei Ming on 8/24/2020

Truly excellent! Enjoying every minute of this learning experience! Prof Ryan, will u be coming out with PyTorch Practical and PyTorch Practical Advanced? Hope to learn all these useful skills from u

By Nat Khaokum on 8/4/2020

Great course

By Chandra Shekhar Pandey on 7/5/2020

Every thing is being explained in a short and simple manner which makes complex things easy to understand.

By Vctor Ramos Vicedo on 7/5/2020

Me arrepiento de haber adquirido este curso.
Lo he terminado porque estaba pagado, pero el temario tratado no es "Avanzado", sino ms bien "Iniciacin". El instructor tenda a repetirse en varias clases sobre los mismos conceptos, con lo que se alargaba la duracin sin introducir informacin nueva.
Adems, recurra en varias ocasiones a material de terceros en sus pginas web sin saber realmente lo que estaba explicando.
Decepcionante

By T . Tritva Jyothi Kiran on 6/8/2020

INFORMATIVE CLASS

By Srinivasu Pappula on 6/4/2020

Good! Very practical and hands-on!

By Sachin Aggarwal on 6/2/2020

Great experience and a lot of valuable knowledge, absolutely recommended for anyone starting in Data Science.

Showing 12 of 40 reviews

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Overall Score : 84 / 100

TensorFlow 2.0 Practical Advanced
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  • Video Duration: icon 12.6h
  • Price: $49.99
  • Provider: icon Udemy
  • Updated: icon June 2024
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
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