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Deep neural networks

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Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

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popovicidaniela / Master-Thesis

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Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

python multi-threading deep-neural-networks latex reinforcement-learning deep-learning asynchronous tensorflow numpy deep-reinforcement-learning multithreading python-3-5 torcs reinforcement-learning-algorithms tensorboard a3c autonomous-driving actor-critic advantage-actor-critic gym-torcs
  • Updated Dec 10, 2017
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