學生對 deeplearning.ai 提供的 Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的評價和反饋
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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?
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.
51 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning 的 75 個評論（共 3,284 個）
創建者 Arun K P
•Good introductory courser to step into AI , ML and DL world with computer vision application
創建者 Jiaming W
•Lots of practice and visualization, machine learning is friendly explained in this course.
創建者 Hanan S A
•The course is very well organised. I enjoyed working on the programming exercises.
創建者 Sergey A
•The lessons are clear and easy to follow. Great basic course to start with.
創建者 Suddhaswatta M
•Please add learning rate reduction in basic course.Thanks !! in advance
創建者 Frank L V
•This was great. I can't think of two better presenters for this topic!
創建者 changqing_nick
•I think it is pretty good to people who are not familar with keras
創建者 Abhijeet M
•I really enjoyed this course and learned a lot from this course.
創建者 Lakshmi V
•Good understanding of CNN by linking Andrew Ng teachings
創建者 Samarendra P
•Excellent set of videos and practice assignments!
創建者 Jui W
•This is a very nice introduction to Tensorflow.
創建者 Min H S
•Thanks for awesome lectures.
創建者 Ahmed S
•Good Course but too short!
創建者 Juan A
•Another Amazing Course :)
創建者 Jun W
•Brief and interesting.
創建者 akash k d
•Enplaned very nicely
創建者 毛昊
•excellent course
創建者 Georji G
•Great content
創建者 Hadi F
•Very good!
創建者 J.A. M P
•The course offers a great introduction to TensorFlow methods for handling data, training models, and inferring results. Two things could be enhanced, in my opinion:
1) A better estimate of the time required to read the materials and do the exercises (the course takes less time than stated).
2) More in-depth explanations for certain parameters (although it could be argued that you should just follow the other deeplearning.ai specialisation for that).
Overall, though, a great crash-course for getting started with Tensorflow!
創建者 Hao H
•I took this course after taking deep learning ai CNN course. I found this course complement the other course really well.On itself, it is a little thin on theory size, but if you have already taken the other course, then this is a great consolidation of the material.
創建者 Arkady T
•It take some time to change the code and run examples from this course with TensorFlow 2.0 locally on my computer. Today TF 2.0 is state of the art and required in practice. Please rewrite code for TensorFlow 2.0
創建者 Kumar N S
•More or less the course takes on Tensorflow's implementation of Keras rather than Tensorflow native env. It also only focuses on computer vision domain. Kind of misleading course title.
創建者 yuan j
•Learn a lot of tensorflow basics, which is good. However, the course is very short and easy to complete, and I cannot apply the neural network learned in this course to actual work
創建者 Guillaume G
•Ce cours balaye les fonctions de bases de la librairie d'abstraction Keras et permet de construire rapidement des réseaux de neurones complexes.
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