All current PyTorch Courses courses in 2024
71 Courses
PyTorch Ultimate 2024 - From Basics to Cutting-Edge
PyTorch Ultimate 2024 - From Basics to Cutting-Edge
Embark on a transformative learning experience with our PyTorch Ultimate 2024 course. Begin with a solid foundation, understanding the key topics and objectives, and seamlessly transition through machine learning essentials and deep learning principles. From setting up your environment to master.
Modern Reinforcement Learning: Actor-Critic Agents
Modern Reinforcement Learning: Actor-Critic Agents | Online Course
Explore the advanced realms of artificial intelligence with our comprehensive course on Modern Reinforcement Learning: Actor-Critic Agents. Gain hands-on experience by implementing cutting-edge AI research papers in the Open AI Gym environment using PyTorch and TensorFl.
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.
智能控制技术
本课程体系简约而全面，逐步讲解智能控制技术，内容配有例题与习题，助力学生深入理解与掌握核心概念。课程共有七章，包含34节课。
第一章为绪论，介绍智能控制的发展历程及主要方法，分析智能控制系统的构成原理，共3节课。第二章探讨模糊控制的理论基础，从模糊集合、运算、隶属度函数到模糊逻辑推理进行详细讲解，重点在模糊集数学理论，共7节课。
第三章解析模糊控制系统.
Generative AI, from GANs to CLIP, with Python and Pytorch
Expand your knowledge and skills in artificial intelligence by diving into the world of generative models. Our Udemy course, "Generative AI, from GANs to CLIP, with Python and Pytorch," offers a comprehensive guide to understanding and implementing cutting-edge AI architectures.
Designed for those passionate about AI development, this course.
Data Science: Modern Deep Learning in Python
Immerse yourself in the world of data science with our course on Modern Deep Learning in Python. Designed for both beginners and experienced practitioners, this course offers a comprehensive exploration of cutting-edge deep learning methods using popular Python libraries like TensorFlow, Theano, Keras, PyTorch, CNTK, and MXNet.
Leverage the.
IBM AI Engineering
Coursera
AI technology is anticipated to expand by 37.3% by the year 2030, according to Forbes. The IBM AI Engineering Professional Certificate, offered through Coursera, equips data scientists, machine learning engineers, software engineers, and technical specialists with skills to excel as AI engineers.
Throughout the program, participa.
Generative AI Engineering with LLMs
Generative AI Engineering with LLMs
The Generative AI (Gen AI) market is anticipated to grow by 46% yearly until 2030 (Source: Statista). As a result, Gen AI engineers are in high demand. This program equips aspiring data scientists, machine learning engineers, and AI developers with vital skills in Gen AI, large language models (LLMs), and natu.
