Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

As one of the Best Online Convolutional Neural Network Courses, if you're a software engineer looking to create scalable AI-powered algorithms, you'll need to know this course. This course will teach you best practices for utilizing TensorFlow, a prominent open-source machine learning framework. It is part of the forthcoming Machine Learning with Tensorflow Specialization.

Andrew Ng teaches the most essential and foundational aspects of Machine Learning and Deep Learning in his Machine Learning course and Deep Learning Specialization. This new deeplearning.ai TensorFlow Specialization shows you how to put those ideas into practice using TensorFlow, so you can start constructing and deploying scalable models to real-world situations. It is recommended that you take the Deep Learning Specialization to have a better knowledge of how neural networks function.

Python coding experience and high school arithmetic skills are essential. Prior experience of machine learning or deep learning is beneficial but not needed. You'll learn how to use TensorFlow, a popular open-source machine learning framework, to design a simple neural network, train a neural network for a computer vision application, and grasp how to improve your neural network with convolutions.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
• Certificate: Earn a Certificate upon completion
• 100% online
• Intermediate Level
• Approx. 19 hours to complete
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Turkish, English, Spanish, Japanese

Coursera Rating: 4.7/5
Enroll here: https://www.coursera.org/learn/introduction-tensorflow