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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-the-complete-guide-with-cnn-and-ann/
课程评论：没有评论
**深度学习：CNN与ANN全方位指南** 本课程深入探讨深度学习领域，重点关注卷积神经网络（CNN）和人工神经网络（ANN）。课程涵盖了深度学习的基础概念，并引导学习者熟悉CoLab等关键工具。 **课程亮点：** * **基础入门：** 介绍深度学习及其基本概念。 * **神经网络核心：** 讲解神经网络的工作原理、API、架构、训练与测试。 * **人工神经网络：** 深入解析ANN的工作机制、学习过程、梯度下降、反向传播、随机梯度下降（SGD）及优化技术。 * **卷积神经网络（CNN）：** 全面介绍CNN的各种架构、卷积层、池化层、全连接层、激活函数，以及深度神经网络的训练方法。 * **实践项目：** 通过一个完整的深度学习及CNN项目，巩固所学知识。 本课程旨在为学习者提供对CNN和ANN的深入理解，并帮助掌握深度学习的强大功能，特别是在计算机视觉等领域。
Within the AI ecosystem, Deep Neural Network or CNN are the most popular sub-fields that promise to change multiple businesses globally. Moreover, a tremendous interest in CNN has emerged in recent years. It is mostly because of its property of ‘spatial in variance' that is useful for computer vision and other similar tasks. Probably this is why CNN has managed to become one of the hottest topics of artificial intelligence.To give you a complete understanding of this concept, we have curated this exclusive online tutorial that will help you learn all the aspects of Deep Neural Network or CNN and Artificial neural nets (ANN)What You'll Learn?This course unfolds with the basic intro of Deep Learning and then directly jumps into CoLab & other essential tools of Neural Networks & Artificial Neural Network. As it progresses, it will give you detailed insights into architectures of CNN, convolutional layers, fully connected layers, and training a deep neural network. In the end, it is also supported by a project that entirely revolves around Deep Neural Network & CNN.This Course Includes:l Intro- Deep Learning, CoLab,l Neural Networks- Working, APIs, Architecture, Training & Testingl Artificial Neural Networks- Working, Learning, Gradient Descent, Backpropagation, SGD, Optimizationl CNN- Architectures, Convolutional Layers, Pooling, Fully Connected Layers, Activation Functions, Training Deep Neural Networksl Project on Deep Neural Network & CNNBegin with this course to learn CNN & harness the true power of Deep Learning!
