courseraАнализ данных

Basic Image Classification with TensorFlow

Курс от Coursera

Начальный≈ 2.2 чАнглийский

О курсе

In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Навыки, которые вы освоите

Tensorflow Keras (Neural Network Library)Machine Learning Computer Vision Deep Learning Image Analysis Network Model Model Training Artificial Neural Networks Applied Machine Learning Network Architecture Model Evaluation

Программа курса

1 модулей · 6 учебных материалов

01TensorFlow Beginner: Basic Image Classification6 материалов

Basic Image Classification

Project-Based Course OverviewЧтение Basic Image ClassificationЛабораторная Check Your UnderstandingЗадание Basic Image Classification

Учитесь у экспертов

Amit Yadav

Machine Learning Instructor