All current Gradient Descent Courses courses in 2024

27 Courses

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Implementing AI Algorithms from Scratch

Embark on an immersive journey into the intricate universe of Artificial Intelligence. This course is meticulously designed to provide you with a profound understanding of classic Machine Learning algorithms by challenging you to implement them from the ground up, without reliance on libraries such as SK-learn. Offered by CodeSignal, this path e.
provider CodeSignal
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Implementing AI Algorithms from Scratch

Implementing AI Algorithms from Scratch: Master AI with CodeSignal Dive deep into the intricate universe of Artificial Intelligence with our specialized course designed to provide you a comprehensive understanding of classic machine learning algorithms. Taught by CodeSignal, this course will guide you through the process of imp.
provider CodeSignal
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NLP in Engineering: Concepts & Real-World Applications

Join our comprehensive course, "NLP in Engineering: Concepts & Real-World Applications," offered by Northeastern University on Coursera. Dive into the world of Natural Language Processing and explore various techniques and their principles to address engineering problems. This course is tailored to focus on practical implementation skills acr.
provider Coursera
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Neural Networks in Python from Scratch: Complete guide

Embark on a complete journey to understand neural networks with our course "Neural Networks in Python from Scratch." Dive into the world of Deep Learning, learning to build neural networks with Python from the ground up. Gain insights into both theory and hands-on practice, providing you with a robust understanding of deep learning methodol.
provider Udemy
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人工智能与医学数据计算

《人工智能与医学数据计算》课程共分为十节课。课程从人工智能与医学数据计算的背景知识入手,提供人工智能和深度学习的发展概述。第二课分析人工智能目标,介绍关键技术及相关概念,重点解析两种不同人工智能技术的区别与联系。 第三和第四节课概述人工智能的基本应用场景及操作环境的软硬件要求,为后续的深度学习关键技术学习奠定基础。第五节课关注深度学习网络架构,.
provider XuetangX
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小白学人工智能

中国也在大力发展新一代人工智能技术,并致力于将其应用于各行各业。本课程完成后,学生将能够: 了解人工智能行业的最新应用和发展趋势。 从数据、算法和计算力的角度理解人工智能的发展。 用行业或生活术语比喻人工智能的概念和原理。 体验和理解深度学习原理,涉及CNN、图像风格迁移、RNN等架构。 通过实例理解深度学习特征,如输入层、隐藏层、输.
provider XuetangX
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AI Theory and Coding

AI Theory and Coding | CodeSignal AI Theory and Coding Provider: CodeSignal Delve into the fascinating realm of Artificial Intelligence with our comprehensive course. Specifically crafted to equip you with a profound understanding of traditional Machine Learning techniques, our program guides you through implementing key algor.
provider CodeSignal
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Neural Networks Basics from Scratch

Embark on an in-depth exploration of Neural Networks and their pivotal role in modern AI with our comprehensive course. Gain hands-on experience by manually implementing foundational AI tools such as Perceptrons, activation functions, and the integral components of multi-layer Neural Networks. Delve into the core mechanisms without relying o.
provider CodeSignal
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Introduction to RNN and DNN

Introduction to RNN and DNN Artificial Intelligence is transforming industries by enabling machines to learn from data and make intelligent decisions. This course offers an in-depth exploration of Recurrent Neural Networks (RNN) and Deep Neural Networks (DNN), two pivotal AI technologies. You’ll start with the basics of RNNs and.
provider Coursera
All upcoming courses at Gradient Descent Courses on the AI ​​Education website. Check out all courses Gradient Descent Courses and choose the one that's right for you.