All current Gradient Descent Courses courses in 2024
27 קורסים
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.
CodeSignal
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.
CodeSignal
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.
Coursera
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.
Udemy
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，.
XuetangX
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.
CodeSignal
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.
CodeSignal
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.
Coursera
RNN Architecture and Sentiment Classification
Title: RNN Architecture and Sentiment Classification
Description: Artificial Intelligence is revolutionizing data analysis. This course delves into Recurrent Neural Networks (RNNs), starting with basic memory models and advancing to deep RNN structures. You'll explore RNN models like ManyToMany, ManyToOne, and OneToMany through practical exerci.
Coursera
Deep Learning: Recurrent Neural Networks with Python
Deep Learning: Recurrent Neural Networks with Python
With the exponential growth of user-generated data, mastering RNNs is essential for deep learning engineers to perform tasks like classification and prediction. Architectures such as RNNs, GRUs, and LSTMs are top choices, making mastering RNNs a priority.
This course starts with the basics an.
Coursera