Artificial intelligence (AI) is now widely used in both industry and everyday life. In our era, AI is developing at an incredible rate. Because of this momentum, AI developers have a lot of opportunities and there are a lot of jobs opportunities for individuals who can develop AI, therefore learning about AI is vital in this era. In this course, you’ll learn about deep learning and AI development frameworks that are widely used in the business. In details we will learn together about the basics of deep learning, core components of deep learning which consists of activation function, normalizer and optimizer, types of neural networks, mainstream development framework, TensorFlow 2.x, and basic methods of deep learning development will all be covered in greater depth.
This course is a collection of 11 learning videos. Each video lasts between 10 and 15 minutes. As a result, the total time required to finish this course approximately 110 minutes.
This course’s final goal is for students to be able to: master the learning algorithm and machine learning process, know common machine learning algorithms, understand concepts such as hyperparameters, gradient descent, cross validation, describe the definition and development of neural networks, learn about the important component of deep learning neural networks, understand training and optimization of neural networks, and describe common problems in deep learning.
