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.
Ce cours fait partie de la Nombre de Développeur TensorFlow DeepLearning.AI Certificat Professionnel
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À propos de ce cours
Résultats de carrière des étudiants
24%
ont commencé une nouvelle carrière après avoir terminé ce cours
28%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 1 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.
Approx. 30 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Turc, Anglais, Espagnol, Japonais
Ce que vous allez apprendre
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
Compétences que vous acquerrez
Computer VisionTensorflowMachine Learning
Résultats de carrière des étudiants
24%
ont commencé une nouvelle carrière après avoir terminé ce cours
28%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 1 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.
Approx. 30 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Turc, Anglais, Espagnol, Japonais
Offert par
deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Programme du cours : ce que vous apprendrez dans ce cours
6 heures pour terminer
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.
6 heures pour terminer
4 vidéos (Total 16 min), 5 lectures, 3 quiz
7 heures pour terminer
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!
7 heures pour terminer
7 vidéos (Total 15 min), 6 lectures, 3 quiz
8 heures pour terminer
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.
8 heures pour terminer
6 vidéos (Total 19 min), 6 lectures, 3 quiz
9 heures pour terminer
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!
9 heures pour terminer
9 vidéos (Total 27 min), 10 lectures, 3 quiz
Avis
Meilleurs avis pour INTRODUCTION TO TENSORFLOW FOR ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND DEEP LEARNING
par AS8 mars 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?
par JC30 déc. 2020
I just can say that it was an awesome course. The instructors as well as the contents were clear, easy to understand and everything with a focus on how to take the theory and apply it with TensorFlow.
par JJ27 avr. 2019
Very well organized. Good speakers. Content is comprehensive for a Introductory Course. A little more explanation on Validation versus Testing and on some of the evaluation functions would be helpful.
par RD13 août 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.
À propos du Nombre de Développeur TensorFlow DeepLearning.AI Certificat Professionnel
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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