Introduction to Deep Learning: History and Resources
Introduction to Deep Learning: History and Resources
This is the Introductory Module to the Deep Learning Course at CDS, a course that covered the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition.
Topics covered in this lesson
- History of deep learning
- McCulloch-Pitts binary neuron
- Future directions
External Links
Prerequisites
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