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- 81% TensorFlow 2.0 Practical

TensorFlow 2.0 Practical

$94.99 $17.99Track price

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8.5/10 (Our Score)
Product is rated as #129 in category Data Science

Artificial Intelligence (AI) revolution is here and TensorFlow 2.0 is finally here to make it happen much faster! TensorFlow 2.0 is Google s most powerful, recently released open source platform to build and deploy AI models in practice.

AI technology is experiencing exponential growth and is being widely adopted in the Healthcare, defense, banking, gaming, transportation and robotics industries. The purpose of this course is to provide students with practical knowledge of building, training, testing and deploying Artificial Neural Networks and Deep Learning models using TensorFlow 2.0 and Google Colab.

The course provides students with practical hands–on experience in training Artificial Neural Networks and Convolutional 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:

(1) Train Feed Forward Artificial Neural Networks to perform regression tasks such as sales/revenue predictions and house price predictions

(2) Develop Artificial Neural Networks in the medical field to perform classification tasks such as diabetes detection.

(3) Train Deep Learning models to perform image classification tasks such as face detection, Fashion classification and traffic sign classification.

(4) Develop AI models to perform sentiment analysis and analyze customer reviews.

(5) Perform AI models visualization and assess their performance using Tensorboard

Instructor Details

Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and technology. Ryan's mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business. Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 50,000+ students globally. He has over 15 published journal and conference research papers on state estimation, AI, Machine learning, battery modeling and EV controls. He is the co-recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA. Ryan is a Stanford 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 also the program Co-Chair at the 2017 IEEE Transportation and Electrification Conference (iTEC 17) in Chicago, IL, USA. * McMaster University is one of only four Canadian universities consistently ranked in the top 100 in the world.

Specification: TensorFlow 2.0 Practical

Duration

12 hours

Year

2021

Level

All

Certificate

Yes

Quizzes

No

16 reviews for TensorFlow 2.0 Practical

4.4 out of 5
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  1. Avatar

    Jake Rhodes

    The best online course I have taken (I’ve probably taken about 10). I have an MSc in Computational Neuroscience and for 10, I’ve had everything I was taught about machine learning refreshed and expanded upon!

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  2. Avatar

    Harry Halter

    yes, very good explanation

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  3. Avatar

    Jose Antonio Quiles Follana

    Great course. The best on tensorflow!

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  4. Avatar

    Silambarasan

    Very Good

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  5. Avatar

    Eugene Duvenage

    Halfway through, this course has exceeded all my expectations. Practical, fundamentally applicable to all types of data.

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  6. Avatar

    Stephen Prum

    Based on my observation, Dr. Ryan is very precise and easy, fun to follow along. He still has a lot to cover. But so far so good.

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  7. Avatar

    Giovanni De Angelis

    Very good course to introduce TF2.0, to brush up and update previous knowwledge.

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  8. Avatar

    Jos de Jes s Mart nez Guarneros

    There are several key concepts useful to improve the accuracy of the models, for example, in the linear regression topic I was expecting to see a key recommendation to manage the numerical variables, such as the normalization. It is mandatory to respect the OLS Assumptions in linear regressions. In one of the classification exercises, I was waiting for a solid explanation of why to use the activation function Softmax, I never saw its mathematical interpretation. In real life problems, the databases are coming from lots of different resources, I was expecting to view recommendations for connections architectures. In general, this course is useful to introduce TensorFlow capabilities. However, is poorly suitable for real life problems.

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    Parappa

    very good course ,it has all the tensorflow 2.0 content

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  10. Avatar

    Tony Gilpin

    You are good , I am learning lot

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  11. Avatar

    Aman Singh

    good course with proper examples and explanation

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  12. Avatar

    Vikas Kumar Chaudhary

    Excellent answers and elaborations to my questions. A great help. Thanks.

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  13. Avatar

    Waynehung

    This course introduces Tensorflow with examples, practices, and explaining the theory behind it as well, helping me a lot to know Tensorflow step by step.

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  14. Avatar

    Durga Sandeep

    Actually, If you had done any deep learning theoretical course before then this course can be finished in a day. I am expecting more advanced stuff but in the end it is really interesting about deploying the model. But the lecture is just one hour. Thank you for the course.

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  15. Avatar

    Sudhi Gulur

    Ryan is an excellent instructor and his passion for teaching comes through in this course. The modules are paced well with examples and hands on exercises. I had no prior experience with TensorFlow and Keras 2.0 and am excited to have this strong foundation to pursue advanced learning in this space.

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    Joshua Bernard

    Very good couse, quick help but really straightforward and intresting

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