Explore the latest advancements in deep learning and its practical applications in computer vision, time series, security, NLP, and data generation.
Deep learning is a group of exciting new technologies for neural networks. This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered.
This course is recommended for students and professionals interested in exploring the latest advancements in deep learning and its practical applications. No prior knowledge of Python is required, but familiarity with at least one programming language is assumed.
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.