All current Gradient Descent Courses courses in 2024
26 Courses
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.
Yapay Zeka ve Derin Öğrenme A-Z™: Tensorflow
Yapay Zeka ve Derin Öğrenme A-Z™: Tensorflow
Google Tensorflow ile Python dilinde makine öğrenimi, yapay sinir ağları ve deep learning programları geliştirin. Bu kapsamlı kurs, Udemy tarafından sunulmaktadır ve meraklılarına derin öğrenme ve makine öğrenimi alanında güçlü bir temel sağlayacaktır.
Üniversite: Udemy
Kategoriler:
Python.
Udemy
Paid Course
7 hours
On-Demand
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.
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.
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.
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.
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.
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.
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.
