Comprehensive introduction to neural networks, covering architectures, algorithms, and real-world applications in image recognition, NLP, and predictive modeling.
This course provides a comprehensive introduction to the fundamental concepts and applications of neural networks. It covers the basic architecture, learning algorithms, and various types of neural network models, including feedforward, recurrent, and convolutional networks. The course also explores the use of neural networks in diverse domains such as image recognition, natural language processing, and predictive modeling.
This course is highly recommended for students, researchers, and professionals interested in gaining a solid understanding of neural networks and their applications. It is suitable for individuals from diverse backgrounds, including computer science, electrical engineering, data science, and machine learning, who want to learn how to design, train, and deploy neural network models to solve complex problems.
Learn by Doing from Your Browser Sidebar
Simply install the browser extension and click to launch GetVM directly from your sidebar.
Choose your OS, IDE, or app from our playground library and launch it instantly.
Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.