January 2018
Beginner to intermediate
284 pages
8h 35m
English
Content preview from Deep Learning Essentials
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Encoder
First, the input image will be encoded by a deep Convolutional Neural Network and generate a vector representation to capture the image information/visual cues in the image.
The CNN can be thought of as an encoder. The last hidden state of the CNN is connected to the decoder, where the state of the neural nodes in this layer is considered as the visual features (for example, with 4096 dimensions). Note that the features are always extracted from the hidden layers of the CNN rather than the last output layer.
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