In this course, you will learn how to use the Tensorflow library to make data predictions. You will learn data analysis and processing methods that can be applied in practice by learning the library and analyzing sample data in parallel.
Learn how to predict, classify, and develop various data using TensorFlow Keras, an artificial intelligence library for the Python language.
This course consists of four parts, and you will learn TensorFlow basic grammar, linear regression, classification, and deep learning in that order.
Easy data analysis even for beginners!
Keras + Tensorflow artificial intelligence library.
With the recent rise of the Fourth Industrial Revolution, technologies capable of processing, analyzing, and predicting large amounts of data have become crucial to the survival of businesses.
AI is no longer an option, it's a necessity, a skill required of every developer.
The Python language is easy to learn, and its rich library makes it easy to solve even complex problems. Among these, the TensorFlow library boasts the largest community, extensive research, and is the most widely used AI library.
Learning TensorFlow has become much easier since version 2. The integrated Keras library makes it easy for even beginners to develop AI.
This course is designed to help you easily learn the Keras library through hands-on practice, including setting up a development environment and the grammar of TensorFlow 2.
(Lecture materials and source code lesson plans are provided.)
Environment Setup and TensorFlow Basics: Lessons 1-5
• This course provides a brief introduction, explains how to set up a development environment, and covers the basic grammar of TensorFlow.
Linear Regression: Lessons 6-16
• We will look at the concepts of regression and cost, differentiation, single linear regression, and multiple linear regression.
Classification: Lessons 17-24
• We will look at sigmoid, logistic regression, softmax, and multi-classification.
Deep Learning: Lessons 25-27
• We will look at an overview of deep learning and image classification.
CEO Kim Il-han (Director of Mobile Lab Technology Research Institute)
I currently lecture and consult on data analysis, artificial intelligence, and deep learning to practitioners and researchers at companies such as LG Electronics, Samsung Electronics, and the Electronics and Telecommunications Research Institute (ETRI). I offer a very accessible lecture covering the fundamentals and how they are applied and utilized in real-world situations. I hope this lecture will be helpful in your current work.
Lecture and consulting institutions
He is a veteran instructor with 21 years of experience in teaching and developing for current and unemployed employees of famous domestic companies such as Samsung Multicampus, Busan IT Industry Promotion Agency, Jeonju Information and Culture Industry Promotion Agency, Incheon IT Industry Promotion Agency, Korea Radio Promotion Agency, SK C&C, T Academy, Korea Robot Industry Advancement Agency, Daejeon ETRI, Samsung Electronics, NICA Training Center, Korea Productivity Center, Hanwha S&C, Samsung Electronics, LG Electronics, SK C&C, Daegu Robot Industry Advancement Agency, and Pusan National University.
Who is this course right for?
I recommend it to those who want to develop artificial intelligence for data in the field.
Anyone who wants to learn various Keras libraries and TensorFlow
Need to know before starting?
Learners who know basic Python grammar
Learners who know the basics of Pandas and NumPy
All
29 lectures ∙ (7hr 21min)
Course Materials:
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3 reviews
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$17.60
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