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Opiniones y comentarios de aprendices correspondientes a Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning por parte de deeplearning.ai

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13,791 calificaciones
2,925 reseña

Acerca del Curso

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 deeplearning.ai 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....

Principales reseñas

AS
8 de mar. de 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?

RD
13 de ago. de 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.

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2701 - 2725 de 2,914 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por moez b

8 de dic. de 2020

a great course

por Kang-Lin W

2 de oct. de 2020

very very good

por Akash B

14 de sep. de 2020

Amazing Course

por Rakesh D

16 de dic. de 2019

so far so good

por Duong D K

1 de ene. de 2021

Easy to learn

por Neha T

27 de jun. de 2020

Good course.

por Mengting J

6 de may. de 2020

Nice course!

por ShIvam R

23 de jul. de 2019

Great Course

por Shekh T

26 de jun. de 2020

Good course

por Joish J B

14 de may. de 2020

Loved it...

por Sajal J

9 de dic. de 2019

good course

por Aniket D B

29 de sep. de 2020

Very Easy.

por Jose M A E

7 de ago. de 2019

Very basic

por Austin E

15 de sep. de 2020

Too Basic

por sunpanwei

24 de mar. de 2020

very good

por Tiago B d L

23 de jul. de 2020

Awesome!

por Riya S

11 de sep. de 2020

like it

por Usman A

12 de dic. de 2020

best

por Harsha B

22 de nov. de 2020

Good

por BAHANI M

9 de sep. de 2020

good

por Yasam H

22 de ago. de 2020

good

por Alfonso A B

18 de abr. de 2020

Easy

por Jefferson D R C

26 de sep. de 2019

easy

por Lei M

12 de jun. de 2019

入门难度

por Perry R

30 de abr. de 2020

Great introductory course. The two instructors provided a nice introduction to the topics.

3 points of feedback, however. 1: The forums need to be monitored more by Coursera staff; there are many great questions (some basic) in the forums that are unfortunately never answered. 2: The grading app needs to be quality reviewed/reworked. I found myself having to consistently delete the last two unnecessary cells in the submitted notebook [something not very well documented]. Also, the error messages from a non-pass submittal are vague and not very informational. What's causing the syntax error in line xx? The syntax is perfectly fine. Code may be pefectly correct, yet fail the grader algorithm due to these quirks. 3: What is an "adam" optimizer and why am I using it? Even if it's complicated, a note about why it's out of scope and we need to use it here because of X would be very helpful for beginners.

Thank you!