Deep Learning - What is it and What It Can Do For You

Explore the fundamentals and applications of deep learning in this 51-minute conference talk from GOTO Copenhagen 2016. Begin with the basics of deep learning, including its definition, functionality, and how to get started. Delve into commonly used architectures such as convolutional and recurrent networks. Learn about key concepts like backward pass, parameter updates, and backpropagation. Examine matrix multiplication, sigmoid functions, and neural network types including RNNs and CNNs. Discover deep learning's potential in areas like language understanding, visual comprehension, game playing, and automated programming. Gain insights into advanced topics such as hierarchical structure discovery, memory utilization, and differentiable data structures. Conclude with an overview of module networks and the exciting possibilities deep learning offers for problem-solving across various domains.