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About CSCI 315: Artificial Intelligence Through Deep Learning: W&L Winter Term 2017 Prof. Levy
This document provides an introduction to TensorFlow and deep learning. It explains that TensorFlow can exploit parallel processing on GPUs to efficiently perform operations like dot products and backpropagation. TensorFlow uses tensors to represent data and builds a computational graph to symbolically differentiate neural networks. The example code shows defining parameters as tensors, building a simple model with matmul and adding bias, and using a session to run the graph and get output predictions.
Detailed Information
Author: | ['hanifalisohag'] |
---|---|
Publication Year: | 2018 |
Pages: | 22 |
Language: | English |
Format: | |
Price: | FREE |
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