Chevron Left
Zurück zu Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Kursteilnehmer-Bewertung und -Feedback für Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning von

9,835 Bewertungen
2,086 Bewertungen

Über den Kurs

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....



Mar 09, 2019

Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?


Aug 14, 2019

Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.

Filtern nach:

351 - 375 von 2,088 Bewertungen für Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

von 邹波波

Sep 07, 2019

This coursera is very great! I learned how to build a neural network, how to improve the accuracy of the network through convolution. Thank you very much!

von Juan C B R

Aug 03, 2019

Excelente metodología!. Lo recomiendo para personas que ya tengan conocimientos básicos de machine learning porque el curso va directamente a la práctica.

von Jitender K

Jul 21, 2019

This is a fantastic course for the beginners! I'd like to recommend everyone to start learning tensorflow with this course. Thank you Andrew and Laurence!

von Tola C

May 25, 2019

The best course to get yourself started in TensorFlow. It is my first time with Python and TensorFlow, but I don't have any trouble following this course.

von Kanmani A

May 24, 2020

Implementation is explained in a very precise and interesting way. This is an excellent course even for those who have not worked with tensorflow before.

von Robert N A

May 02, 2020

It was well explained and the thing is they have shown us how to use it on real life examples. ImageDataGenerator was well introduced and explained also.

von Lukas K

Mar 12, 2019

Thank you very much for the course. It is really useful introduction into Keras and Tensorflow. Looking forward for more courses in thing specialization.

von Tobias I M S

Jun 25, 2020

It was very nice to learn about machine learning in a very simple way but we actually able to create a bigger model by just using several lines of code.

von Sandeepan M

May 31, 2020

The enthusiasm of my instructor really motivated me to learn such cool stuff :D.

Thanks, Laurence Moroney Andrew Ng for this. I'm really grateful to you!

von clement l r

Jan 16, 2020

Excellent course to introduce fundamental neural network concept and illustrate how to build easily Neural Networks thanks to tensorflow high level API.

von Anamitra M

Sep 17, 2019

Excellent course. Very good for learning basics of TensorFlow to use building neural networks, and CNNs for use in Image Processing and Computer Vision.

von MaxIakovliev

Jul 01, 2019

This is absolutelly great into to Tensorflow library.

It start from very simply examples and gradualry dive deeper into exiting world of Deep Learning

von Rahila

Jul 05, 2020

Very interesting course, better to understand and practice together with Deep Learning specialization, especially Convolutional Neural Networks course

von Sayan D

May 23, 2020

In simple words, "Awesome...". Thanks, Andrew NG sir and Laurence Moroney for providing this course, moving forward to earn the specialization program.

von Julieth A L C

Jun 08, 2020

Me parece un curso introductorio completo y bien explicado, entendí cada tema, bien en el video o en el cuaderno, creo que el curso logra su objetivo.

von Ravindra

Apr 24, 2020

Its been fun, I have enjoyed learning computer vision and the modern day neural networks, can't wait to use my new knowledge in my upcoming endevours.

von Noer N S K

Apr 13, 2020

I like these courses because teaching me to improve my skills using TensorFlow with CNN. In other hands I learning from real cases to apply our model.

von Ronald F P

Jun 30, 2019

It was really fun taking this course. I learned a lot about how to do basic machine learning, using convolution, and classifying images. Thanks a lot!

von Gabriel A F S

Jun 15, 2020

Muy útil para iniciarse, en el caso de tener conocimientos en el área es muy bueno para repasar lo básico de la framework y algunos conceptos claves.

von Rushil T

May 04, 2020

crisp clear and beautifully explained , congratulations google you have successfully hooked a data scientist to tensorflow for the rest of his life !

von Seongeon H

Dec 27, 2019

Practical learning materials rather than theoretical stuff. I find it very good because it wasn't boring because I was required to code it by myself.

von Aagam S

Jun 30, 2020

Amazing course. There was a lot of hands on involved appreciate the entire team of coursera and all the professor who made such a beautiful course.

von Raden A A V

Apr 12, 2020

Easy to understand and implement, and the examples are based on the real dataset. Perfect for those who want to learn using Tensorflow from scratch.

von Raphael K B

Sep 17, 2019

Very Helpful for me. Thank you Coursera for accepting my financial aid. This means a lot to me. I hope this online courses will grow more than ever.

von Salman A

May 09, 2020

This is a very good course for those who have already built theoretical concepts of neural networks but struggle at their practical implementation.