Chevron Left
Volver a Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

4,593 calificaciones
907 revisiones

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 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 revisiones


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.

Filtrar por:

851 - 875 de 902 revisiones para Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por Michael

Jul 26, 2019

Good introduction but lacks materials and practice to use after the class. Most of the materials its only referral. The trainer is good, except very shot videos and the setup on your pc are not discussed. But generally enoyed the lecture and learned a lot.

por Ari H

Aug 02, 2019

It’s an introduction. You learn some basics about TensorFlow, but it’s quite simple.

por Wanqiong P

Aug 04, 2019

This course might be too simple for a software engineer.

por Aditya M

Aug 05, 2019

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

por Yonatan N

Aug 10, 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 Raffaello B

Aug 11, 2019

It's not easy to complete all weekly exam for a lot of kernel errors.

It is as a good starting point for TensorFlow, but is not newbie course in Machine Learning and Computer vision.

por Edward D

Aug 11, 2019

The homework is not designed well:1. The notebook is inconsistent with the colab env, and there are always problems here and there due to the inconsistency in tf version. 2. All 4 homeworks are similar, and it's simply a copy of the video lectures.

por Mayur K

Aug 12, 2019

it was good but there is scope of providing more thereotical contents along with videos for the concepts beyond the scope of this course so one could get better familiar with the terms (e.g adam. cross entropy)

por Hasan E E

Aug 14, 2019

A very good introductory course, however the algorithms working under Tensorflow was omitted heavily. Some technical background on how these algorithms work would enhance the quality of the course.

por Ethan V

Aug 14, 2019

content was fine and accessible, notebook environments were flakey

por Samuel W

Aug 14, 2019

I hope they fix the bugs. So many bugs.

por Marco B

Aug 17, 2019

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

por Xiangzhen Z

Aug 17, 2019

Each video is a bit too short. And the assingment can't be smoothly finished and submitted due to environment issue. The creator should try to improve the user experience.

por Masoud V

Aug 19, 2019

Just good

por Dylan R

Apr 24, 2019

Too easy, notebooks gave away answers

por Ranjan D

Aug 22, 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 Sebastian S

Aug 22, 2019

Man there was no submission notebook that I didn't have to fix myself. Please fix those!

por Shubham A G

Aug 25, 2019

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

por Navid H

Sep 15, 2019

The first assignment was really buggy

por Rui P

Aug 27, 2019

Instructors, please take a look at the discussion forum and answer some questions. It would save students a lot of time. The content of the course was overall awesome though.

por Stefano T

Sep 18, 2019

content and teacher are great!

google collab and the submit process is tedious because of the hidden restrictions (memory space, computation power) and the bugs of the exercise submission tool

por Rasul N

Aug 30, 2019

Course was too shallow. I is targeted on only beginners and developers who has no ml or math background


Nov 06, 2019

In Programming its difficult to learn for us

por Matthieu S

Oct 06, 2019

Very approachable course, probably a little too much. Assignments can be done by simply copy-pasting notebooks from the videos without any modification in the model. The generated images are also not that varied, and give skewed image of what humans should look like.

Anyhow, the videos are good, as well as the annotated notebooks, to familiarize ourselves with CNN and the Keras API.

por Martin P

Oct 09, 2019

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