What is deep learning?
— Deep learning is a way to extract useful patterns from data in an automated way to solve real world problems using libraries such as Python, TensorFlow & friends.
What is the goal of AI?
— The goal of AI is to create representations of data that make it easier to interpret and classify.
What is supervised learning?
— Supervised learning uses human annotation to label data, while semi-supervised, reinforcement, and data augmentation techniques reduce the need for human input.
What are neural networks inspired by?
— Artificial neural networks are inspired by biological neural networks, but have fewer synapses and use backpropagation for learning, while the human brain has an asynchronous topology and an unknown learning algorithm.
What is the purpose of deep reinforcement learning?
— Deep reinforcement learning is the task of an agent to act in the world based on observations of the state and rewards received, learning from sparse rewards.
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