All current Gradient Descent Courses courses in 2024
24 Courses
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.
How Neural Networks Learn: Exploring Architecture, Gradient Descent, and Backpropagation
How Neural Networks Learn: Exploring Architecture, Gradient Descent, and Backpropagation
Neural networks drive many artificial intelligence applications today. This course will teach you what’s behind the magic—the dynamics of training neural networks, including backpropagation, gradient descent, and how to optimize network performance. So, you.
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.
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，.
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.
Introduction to Neural Networks with PyTorch
Learn the fundamentals of neural networks with Python and PyTorch, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.
University: Udacity
Provider: Udacity
Python Courses
Computer Vision.
Udacity
Paid Course
4 weeks, 4-5 hours a week
On-Demand