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.
Dieser Kurs ist Teil der Spezialisierung DeepLearning.AI TensorFlow Developer Zertifikat über berufliche Qualifikation
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Kurs 1 von 4 in
Stufe „Mittel“
Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.
Ca. 19 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Deutsch, Russisch, Türkisch, Englisch, Spanisch, Japanisch
Was Sie lernen werden
Learn best practices for using TensorFlow, a popular open-source machine learning framework
Build a basic neural network in TensorFlow
Train a neural network for a computer vision application
Understand how to use convolutions to improve your neural network
Kompetenzen, die Sie erwerben
- Computer Vision
- Tensorflow
- Machine Learning
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 4 in
Stufe „Mittel“
Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.
Ca. 19 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Deutsch, Russisch, Türkisch, Englisch, Spanisch, Japanisch
von
deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Lehrplan - Was Sie in diesem Kurs lernen werden
4 Stunden zum Abschließen
A New Programming Paradigm
Welcome to this course on going from Basics to Mastery of TensorFlow. We're excited you're here! In Week 1, you'll get a soft introduction to what Machine Learning and Deep Learning are, and how they offer you a new programming paradigm, giving you a new set of tools to open previously unexplored scenarios. All you need to know is some very basic programming skills, and you'll pick the rest up as you go along. To get started, check out the first video, a conversation between Andrew and Laurence that sets the theme for what you'll study...
4 Stunden zum Abschließen
4 Videos (Gesamt 16 min), 7 Lektüren, 4 Quiz
5 Stunden zum Abschließen
Introduction to Computer Vision
Welcome to week 2 of the course! In week 1 you learned all about how Machine Learning and Deep Learning is a new programming paradigm. This week you’re going to take that to the next level by beginning to solve problems of computer vision with just a few lines of code!
5 Stunden zum Abschließen
7 Videos (Gesamt 15 min), 5 Lektüren, 3 Quiz
5 Stunden zum Abschließen
Enhancing Vision with Convolutional Neural Networks
Welcome to week 3! In week 2 you saw a basic Neural Network for Computer Vision. It did the job nicely, but it was a little naive in its approach. This week we’ll see how to make it better, as discussed by Laurence and Andrew here.
5 Stunden zum Abschließen
6 Videos (Gesamt 19 min), 5 Lektüren, 3 Quiz
5 Stunden zum Abschließen
Using Real-world Images
Last week you saw how to improve the results from your deep neural network using convolutions. It was a good start, but the data you used was very basic. What happens when your images are larger, or if the features aren’t always in the same place? Andrew and Laurence discuss this to prepare you for what you’ll learn this week: handling complex images!
5 Stunden zum Abschließen
9 Videos (Gesamt 27 min), 10 Lektüren, 3 Quiz
Bewertungen
- 5 stars80,38 %
- 4 stars15,82 %
- 3 stars2,51 %
- 2 stars0,67 %
- 1 star0,59 %
Top-Bewertungen von INTRODUCTION TO TENSORFLOW FOR ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND DEEP LEARNING
von RA13. Jan. 2020
Learn alot from this course, specially the steps required from importing data to train data from simple to real world examples. Further explanation of each line of code also demonstrate thoroughly.
von ST17. Juli 2020
I have learned basics of keras in deep learning through this course. If we already familiar with deep learning (from Andrew's course), this course helps a lot for applying those concepts in keras.
von AS8. März 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?
von AB5. Mai 2020
This course helps to dive me into the world of Neural Network . I have learned a lot though my Course . It was very interesting and fun learning with Coursera . Looking forward for the next Course.
Über den DeepLearning.AI TensorFlow Developer Zertifikat über berufliche Qualifikation
TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models.
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