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12,731 Bewertungen
2,699 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.

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401 - 425 von 2,693 Bewertungen für Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

von Oscar S D

May 02, 2020

Excellent Intro to this fascinating world, excellent videos, exercises, our teacher are incredible. Thank you so much for this course, I really appreciate it!. Cheers!!

von michael c

Jun 23, 2019

Very insightful, as I previously did not have a computer science background and this course really helps break down the fundamentals of tensorflow and a neural network.

von Ludovic P

Mar 22, 2019

A well designed, well paced first course on TensorFlow and Machine Learning. Do not hesitate to follow it if you know nothing yet on Machine Learning or Deep Learning !

von Apoorv M

Sep 05, 2020

Learnt from the basics to use of Convolution Neural Networks (In Tensorflow) for colored image classification. Teaching method was awesome. Looking forward to Course 2

von Dayananda K

Dec 23, 2019

Very Methodical way of progressing from simple to slightly complex methods in Computer vision. Good intro course leading to more complex methodologies using Tensorflow

von Ahmad L

Jun 28, 2020

a really easy to grasp introduction. your work on clearly explained assignments. It turns out that Tensorflow is a piece of cake! Thank you for debunking that for us!

von Carlos D R S

May 09, 2020

Very good course for practitioners. You can study this course in a very agile way. It is excellent if you need to implement neural networks and you are short of time.

von Sayak B

Oct 12, 2019

Excellent introduction to Tensorflow. Links to resources for further reading and demos are supplied adequately and that really helped grasp the concepts more clearly.

von B S K

Aug 29, 2020

Really liked how coding ConvNets was taught and really enjoyed the resources provided and really had the freedom to experiment a lot with different hyper-parameters.

von Tyler

Mar 26, 2020

I really appreciate how this course has demystified neural networks. I'm really excited to continue learning and eventually applying these techniques in my own work.

von Gowrishankar S

Mar 20, 2020

The course is structured so that one can walk through step by step and learn at one's own pace. Very interesting and encouraging to do more. Thanks to the lecturers.

von Mauricio G

Feb 04, 2020

Excelente curso para saber como funciona TensorFlow, bastante recomendable. Me fue de gran ayuda haber tomado los cursos anteriores de Andrew NG sobre Deep Learning.

von Olena I

Jan 13, 2020

This is simple, clean and nice intro to the topic! I recommend to have a little bit of Python background training before jumping into the course. Thank you Lawrence!

von seyed r m

Dec 03, 2019

It was great to refresh my knowledge on image recognition plus learn about tensorflow classes such as ImageDataGenerator. Thanks for putting together a great course!

von Matthew F

Jul 07, 2019

Very clear and helpful course. Probably best suited for people who are already programmers and have theoretical knowledge of neural networks but want to learn keras.

von José E L E

Jun 25, 2020

Very easy and comprehensive on the basics of using keras for simple neural networks, I liked the image data generator and the callbacks because they are very useful

von Puyam S S

May 15, 2020

Amazing fast track course with clear goals and practical examples. His teaching style is crystal clear and interesting. Looking forward to attend his other courses.

von Riccardo S

Jun 04, 2020






von Andrey P

Apr 17, 2020

Neural networks taught as simple as possible. At the same time, an initial but insightful overview is given of what features are and how networks represent things.

von Hadj S Y

Apr 11, 2020

I really loved the way this course has bee delivered. It was well explained and the exercises were really fun. I look forward to complete the whole specialization!

von Prashant J

Mar 31, 2020

Really good. Its been a wonderful to look deeper into the Tensorflow, and to know about new tools which are very useful during training such as callbacks in keras,

von Hurui

May 18, 2020

Friendly to beginners. Great start point for people who want to program with tensorflow. Introduced basic workflow of dealing with image classification problems.

von Rajesh V

Apr 13, 2020

This is an excellent introduction to Tensorflow. I had experience with ML, but Tensorflow helps speed to market. The course material and presentation is awesome.

von José L B

Aug 03, 2019

This is a very nice course, Laurence has a way to make the course easy going and interesting, and the practical exercises are very good to begin with TensorFlow.

von Irfan A K

Jun 24, 2019

A very good, quick summary of the basics of tensorflow using simple problems. Callback was very helpful to learn about, thanks for clarifying the code for that!