Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (original) (raw)
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Gain insight into a topic and learn the fundamentals.
Flexible schedule
Approx. 22 hours
Learn at your own pace
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
Flexible schedule
Approx. 22 hours
Learn at your own pace
Most learners liked this course
What you'll learn
- 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
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There are 4 modules in this course
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...
What's included
4 videos8 readings1 assignment1 programming assignment1 app item1 ungraded lab1 plugin
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! Check out this conversation between Laurence and Andrew where they discuss it and introduce you to Computer Vision!
What's included
7 videos3 readings1 assignment1 programming assignment2 ungraded labs
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.
What's included
6 videos3 readings1 assignment1 programming assignment2 ungraded labs
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!
What's included
9 videos6 readings1 assignment1 programming assignment3 ungraded labs
Instructor
DeepLearning.AI
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5
Reviewed on Aug 14, 2020
This course is awesome and the way instructor teaches the topic is fantastic.I would definitely recommend this course for Ai enthusiast and tech enthusiast who are interested in learning Tensorflow.
5
Reviewed on Mar 8, 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?
5
Reviewed on Jun 11, 2019
Es un excelente curso para todo aquel que este interesado en las ciencias de datos y la inteligencia artificial ya que Tensorflow y Keras son herrameintas que acortan mucho el camino de desarrollo.
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