Deep dream google download9/10/2023 The parameters of these transformations were determined during the training process by a variant of gradient descent algorithm. It consists of a set of layers that apply a sequence of transformations to the input image. The network under examination is the GoogLeNet architecture, trained to classify images into one of 1000 categories of the ImageNet dataset. generate DeepDream-like images with TensorFlow (DogSlugs included).use Laplacian Pyramid Gradient Normalization to produce smooth and colorful visuals at low cost.produce high-resolution images with tiled computation ( example).embed TensorBoard graph visualizations into Jupyter notebooks.visualize individual feature channels and their combinations to explore the space of patterns learned by the neural network (see GoogLeNet and VGG16 galleries).This notebook demonstrates a number of Convolutional Neural Network image generation techniques implemented with TensorFlow for fun and science:
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