Introduction to TensorFlow for AI, Machine Learning, and Deep Learning

Source: Deep Learning on Medium


If you are looking to become a software developer who builds scalable AI-Powered algorithms, you must know how to use the essentials tools to build them. This post talks about a course which teaches you the best practices to use the open source framework for machine learning, TensorFlow. Here’s the link to this course course: 
https://www.coursera.org/learn/introduction-tensorflow

The course is created by Deeplearning.ai in partnership with Coursera. Anyone who wants to gain skills like Machine learning, TensorFlow, computer vision & deep learning must consider looking. Read this post in full to see what do learners get from this course and current stats of it.

More about this Intro to TensorFlow Course:

This is one of the highly rated Coursera courses at the moment. Learners can enroll in the course anytime they want, the whole content is 100% online. There is no need to attend classes in person whatsoever. Just choose your schedules and start learning!

If you can spare 4–5 hours every week, you can finish the course in just 4 weeks. Again, there are no deadlines, learners can finish the course before 4 weeks as well 🙂

This is a 4 weeks program, following are the topics covered each week and what you learn:

Week 1. A New Programming Paradigm

In first week you get to know what is Machine Learning, Deep Learning and how they offer a new programming paradigm. This section consists of 4 videos, 5 readings and 3 quizzes

Week 2. Introduction to Computer Vision

This section of the course should complete in 4 hours. You will learn from 7 videos, 6 readings and 3 quizzes in this section. You will learn to solve problems of computer vision with just a few lines of code in this section of the course

Week 3. Enhancing Vision with Convolutional Neural Networks

This section consists of 6 videos, 6 readings and 3 quizzes, it should take you about 5 hours to go through the entire content.

Week 4. Using Real-world Images

This section of the course should finish in about 6 hours. Learners get 9 videos, 10 readings and 3 quizzes this week.

Course instructor and stats

The creator of the course is deeplearning.ai in partnership with Coursera. The instructor of the course are:

  • Laurence Moroney, AI Advocate, Google Brain

Following are the numbers as of the time I write this post:

  • Rating 4.7 out of 5 after 266 ratings
  • Close to 1000 enrollments
  • Total 26 videos, 27 readings and 12 quizzes

Course requirements

If you have experience in Python coding and high school level knowledge of Mathematics, you can go for it. There is no need to have prior knowledge of Machine Learning, Artificial Intelligence and Deep Learning.

Hope you find this post insightful and you go on to share it with your friends. If you have any questions about the course, just hit me up on twitter @topitguy. I will be happy to answer your questions.


Originally published at topitguy.com on March 27, 2019.