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1. #DEEP DREAMER RUN OUT OF APPLICATION MEMORYT HOW TO#
2. #DEEP DREAMER RUN OUT OF APPLICATION MEMORYT INSTALL#

We shall refer to your Anaconda installation location as later. Later, we would create a virtual environment to isolate our Deep Dream tools installation.

#DEEP DREAMER RUN OUT OF APPLICATION MEMORYT INSTALL#

You can install either Anaconda Python 2.7 or Anaconda Python 3.5 on Windows 10. The recommended bash shell comes from Git for Windows installation. Note: this article assumes you are using bash shell on Windows. BVLC Reference Models and the Community Model Zoo.The Caffe’s pre-trained model that we downloaded and used is the iteration 2,400,000 snapshot (60 epochs) using quick_solver.prototxt.

Showing the GoogLeNet CNN 22 layers deep network

GoogLeNet achieved the classification of the ImageNet dataset (all sorts of animals, household objects, vehicles, etc.), 93.33% of the time the correct object class will be contained in the GoogLeNet ensemble’s top five predictions.įigure. The Deep Dream script is using Google’s award winning entry of ILSVRC 2014 GoogLeNet, a 22 layers deep network trained to regconize images. Caffe Model Zoo) can be easily downloaded and used. Especially, there are many popular pre-trained neural network (aka. It is still the most popular toolkit within the computer vision community, with many extensions being actively added. CaffeĬaffe is perhaps the first mainstream industry-grade deep learning toolkit, started in late 2013, due to its excellent convolutional neural network implementation (at the time).

#DEEP DREAMER RUN OUT OF APPLICATION MEMORYT HOW TO#

You may want to read how to setup NVidia CUDA 8.0 to utilize your GPU for speeding up Deep Dream calcuations. This article is a continuation of my previous blog on Deep Learning with GPU on Windows 10. Vangogh’s “Starry Night” Deep Dream transformation I wondered if this is the same effects on our visual cortex subdued by some drugs?įigure. The neural network amplified the perceived objects that it is being trained to recognized.

The result are beautiful hallucinations like the one below. Instead of identifying objects in an input image, it changes the image into the direction of its training data set, which produces impressive surrealistic, dream-like images. The Deep Dream algorithm is a modified neural network. Deep Dream is an algorithm that makes an pattern detection algorithm over-interpret patterns.