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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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13,115 calificaciones
2,785 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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2651 - 2675 de 2,773 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por Ranjan D

22 de ago. de 2019

The course was good enough on the high-level perspective but was expecting pure TensorFlow based implementation of the models instead of using the Keras high-level API.

por Roger G A

8 de oct. de 2020

The course was very basic but interesting. However, there were some issues when submitting the assignments. And the virtual lab uses tensorflow 1.x instead of 2.x

por Baurjan S

12 de mar. de 2019

It's very introductory and the knowledge may not stick. I think it is more beneficial to take a full deep learning course with TF as an add-on to the course.

por Desiré D W

12 de nov. de 2019

Great content, excellent explanations.

But I couldn't run the notebooks without running into kernel issues, the programming assignments were a real hassle.

por Harmanpreet S

2 de abr. de 2019

Could have been a more elaborated course. This course mostly talks about how Keras functionality has been adopted by high-level APIs in Tensorflow.

por Mohammad F

1 de feb. de 2020

This course gives a high-level overview to tensorflow keras api which is good to begin with but working on complex use cases would be preferred.

por Yonatan N

10 de ago. de 2019

This course was not focused on learning tensorflow as I had hoped. Instead, it felt like an into to neural networks course using tensorflow.

por Jeroen v H

3 de jul. de 2019

I missed graded exercises. WIth only the simple multiple-choice questions tests it becomes a try and retry game to score as high as possible,

por Samuel K

29 de oct. de 2019

Too easy and lacks theoretical explanation, even though there are references and it seems that it lacks the explanations on purpose...

por Martin P

9 de oct. de 2019

After finishing the amazing Machine Learning course, this felt little underwhelming. Hopefully the next courses will be more in depth.

por Adarsh G

9 de ago. de 2020

This Course is only useful if and only if u have prior knowledge about neural networks, and if previously used Tensorflow

por saumya

24 de may. de 2019

It was a well-formatted course for someone just starting out with tensorflow as their choice of deep-learning framework.

por Marco B

17 de ago. de 2019

Very good course to start with TensorFlow but a lot of problems on coursera's servers, the exercises are crashing a lot

por Ashim M

30 de sep. de 2020

It was annoying to keep writing the callbacks when we could use the inbuilt callbacks already provided. twas alright.

por Pavel D

23 de sep. de 2019

Exercises are too simple and mostly mechanical, they don't force to explore the internal network details and concepts

por Aditya M

5 de ago. de 2019

It was a very basic course. Didn't learn much from this course. Expecting a better & in-depth dive in future courses.

por Oleg K

6 de ago. de 2020

Quite short course with not so much information as for a paid course. Other than that - good intro for the beginners

por RAVI P

15 de jun. de 2020

The quality of assignments should be better. There should be less emphasis on overfitting the data to 99% or 100%

por Apoorv V

1 de ago. de 2020

Compared to the Deep Learning Specialization, this course falls short in course depth and coverage of material.

por Moustafa A S

24 de jun. de 2020

the grading system is so bad it slowed the progress too much sadly, but the instructions was so clear and good.

por Yoann

30 de mar. de 2020

Exercises are a little bit too simple. It is only a matter of copy/paste.

The github folder structure is a mess!

por Christian B

20 de mar. de 2020

I expected a TF-focused course, this was more "basic synthax of keras". Thanks for the good work nonetheless!

por Josef O

1 de abr. de 2019

The code is not consistent at some places. There is no high level overview of how tensorflow actually works.

por sudheer n D

11 de jun. de 2019

Very brief introduction. Would have been great if the discussion was elaborate and mathematical at times.

por Shubham A G

25 de ago. de 2019

Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.