Deep learning is a batch of machine learning that hires artificial neural networks that learn by processing data. Artificial neural networks impersonate the biological neural networks in the human brain.
Multiple layers of artificial neural networks work together to regulate a single output from many inputs, for example, identifying the image of a face from a patchwork of tiles. The machines learn through negative and positive reinforcement of the tasks they carry out, which requires constant reinforcement and processing to progress.
- Track 1-1 Reinforcement Learning
- Track 2-2 Deep Belief Networks
- Track 3-3 Long-Short Term Memory
- Track 4-4 Deep and restricted Boltzmann Machines
- Track 5-5 Deep Reinforcement Learning