courseraАнализ данных

Introduction to CNN Training

Курс от Simplilearn

Начальный≈ 3 чАнглийский

О курсе

This beginner-friendly course on Convolutional Neural Networks (CNNs) equips you with essential skills to understand deep learning fundamentals and apply them to real-world image recognition tasks. Learn how CNNs power modern AI applications and gain practical experience through guided lab demos. Build confidence in designing, training, and implementing CNN models effectively. By the end of this course, you will be able to: Understand CNN Basics: Explain what CNNs are and their role in deep learning and computer vision Explore Core Components: Learn about convolution, ReLU, and pooling layers in CNNs Recognize Image Processing: Understand how CNNs detect and classify image features Apply CNN Models: Build and implement CNN models through hands-on guided labs Gain Practical Skills: Develop expertise to handle real-world image classification projects Ideal for beginners, and professionals interested in AI, computer vision, and deep learning.

Навыки, которые вы освоите

Convolutional Neural Networks Image Analysis Computer Vision Deep Learning Model Training Artificial Neural Networks

Программа курса

2 модулей · 22 учебных материалов

01Fundamentals of CNN13 материалов

Introduction to CNN

Course SyllabusЧтение What is CNN?Видео How Does CNN Recognizes Images?Видео Layers in CNNВидео

Учитесь у экспертов

Priyanka Mehta

Преподаватель курса