Image deep dreamer6/16/2023 ![]() Import random Step 2: Import the Model with Pre-Trained Weights The first step is to import the necessary libraries after we install TensorFlow 2.0: !pip install tensorflow-gpu=2.0.0.alpha0 import tensorflow as tf ![]() The following code has been adapted from the TensorFlow 2.0 Documentation. Now that we have the steps for the DeepDream algorithm, let's implement it in Google Colab. Iterate and repeat this process over multiple scales.Modify the image to increase these activations (we apply gradient ascent, not gradient descent), and thus we enhance the patterns seen by the network resulting in a dream-like hallucinated image.Calculate the gradient of the image with respect to the activations of the chosen layer.Calculate the activations (output) coming out of the layer of interest.Select the layer of choice, recall that the first layers capture edges and deeper layers capture shapes like faces.Forward an image through a trained ANN, CNN, ResNet, etc.Here are the steps we need to take for the mathematics of the DeepDream algorithm: This process is repeated until the input image now contains all the features that specific layer was originally looking for.įor example, if a specific layer was used to detect cat faces and we feed in an image of a sky, the DeepDream algorithm would continuously change the input image and start creating images of cats on top of the blue sky.We select which neurons and which layers we want to fire more prominently. ![]() DeepDream works by trying to change the input image in a way that makes some of these neurons fire more than others (i.e. ![]()
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