Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure

8 Jul 2018 Hamed Hakkak

Model-based compression is an effective, facilitating, and expanded model of neural network models with limited computing and low power. However, conventional models of compression techniques utilize crafted features [2,3,12] and explore specialized areas for exploration and design of large spaces in terms of size, speed, and accuracy, which usually have returns Less and time is up... (read more)

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