Pytorch implementation of convolutional neural network visualization techniques
翻译 - 卷积神经网络可视化技术的Pytorch实现
#计算机科学#Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨
PyTorch implementation of DeepDream algorithm
#计算机科学#Pytorch implementation of the DeepDream computer vision algorithm
Quickly and easily create / train a custom DeepDream model
Visualizer for PyTorch image models
#计算机科学#In this repository i created many data scince - machine learning projects like(Deep dream,weather prediction,Movie recommender system etc) with code & datasets
#计算机科学#DeepDream psychodelic image generator.
#计算机科学#open source, collaborative art generation that combines hand and machine
#计算机科学#This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt
#计算机科学#15 Minutes introductionn into Deep Dreaming Neural Networks and how we can learn from them
#自然语言处理#Extending the idea of deep dream to textual data.
#计算机科学#Code for creating maximal activation images (like Deep Dream) in pytorch with various regularizations / losses.
Implementation of google deep dream algorithm using Tensorflow
ConvNet-Vis helps to visualize the Deep Convolutional Neural Networks with following methods.
#计算机科学#generate deep dream zoom in videos with an input image
#计算机科学#Deep dreaming images with TensorFlow.js
A bot that listens for the #DeepDreamMeBot hashtag on a tweet with an image and replies with a deep dream version of that image.
Lightweight Deep Dream implementation in a Flask API using PyTorch with pre-trained GoogLe-Net weights - deployed in Heroku!
