Windows Dev Resources

How to Install gcc/g++ 4.7.2 on Cygwin

Published: 27 Oct 2015

Commands To Suppress Some Building Errors With Visual Studio

Here are some commands you would probably frequently use when you’re building Linux codes with VS2013~VS2015. Go to “C/C++ - Project - Properties - Additional Options”, add following commands(each command separated by one blank):

Published: 24 Oct 2015

Glog Build Problems on Windows X86 and Visual Studio 2015

Published: 23 Oct 2015

Gflags Build Problems on Windows X86 and Visual Studio 2015

Gflags Build Problems on Windows X86 and Visual Studio 2015

Published: 23 Oct 2015

Horrible Wired Errors Come From Simple Stupid Mistake

Several days ago I was transplanting some codes from Linux to Windows x86 platform.

Published: 16 Oct 2015

Embedding Python In C/C++

Preparatory Work

Published: 10 Oct 2015

Visual Question Answering

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Published: 09 Oct 2015

Visualizing and Interpreting Convolutional Neural Network


Deconvolutional Networks

Visualizing and Understanding Convolutional Network

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps (ICLR 2014 workshop)

Understanding Deep Image Representations by Inverting Them

deepViz: Visualizing Convolutional Neural Networks for Image Classification

Inverting Convolutional Networks with Convolutional Networks

Understanding Neural Networks Through Deep Visualization

Visualizing Higher-Layer Features of a Deep Network

Generative Modeling of Convolutional Neural Networks

Understanding Intra-Class Knowledge Inside CNN

Learning FRAME Models Using CNN Filters for Knowledge Visualization

Convergent Learning: Do different neural networks learn the same representations? (ICLR 2016)

Visualizing and Understanding Deep Texture Representations

Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images

An Interactive Node-Link Visualization of Convolutional Neural Networks

Learning Deep Features for Discriminative Localization

Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

A New Method to Visualize Deep Neural Networks

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks

VisualBackProp: visualizing CNNs for autonomous driving

VisualBackProp: efficient visualization of CNNs

Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Grad-CAM: Why did you say that?

Visualizing Residual Networks

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

Picasso: A Neural Network Visualizer

CNN Fixations: An unraveling approach to visualize the discriminative image regions

A Forward-Backward Approach for Visualizing Information Flow in Deep Networks

Using KL-divergence to focus Deep Visual Explanation

An Introduction to Deep Visual Explanation

Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks

Visualizing the Loss Landscape of Neural Nets

Interpreting Convolutional Neural Networks

Network Dissection: Quantifying Interpretability of Deep Visual Representations

Interpreting Deep Visual Representations via Network Dissection

Methods for Interpreting and Understanding Deep Neural Networks

SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

Interpretable Convolutional Neural Networks

Interpreting Convolutional Neural Networks Through Compression

Interpreting Deep Neural Networks

Interpreting CNNs via Decision Trees

Visual Interpretability for Deep Learning: a Survey

Interpreting Deep Classifier by Visual Distillation of Dark Knowledge

How convolutional neural network see the world - A survey of convolutional neural network visualization methods

Understanding Regularization to Visualize Convolutional Neural Networks


Interactive Deep Neural Net Hallucinations


draw_convnet: Python script for illustrating Convolutional Neural Network (ConvNet)

Caffe prototxt visualization

Keras Visualization Toolkit

mNeuron: A Matlab Plugin to Visualize Neurons from Deep Models




“Visualizing GoogLeNet Classes”

Visualizing CNN architectures side by side with mxnet

How convolutional neural networks see the world: An exploration of convnet filters with Keras

Visualizing Deep Learning with t-SNE (Tutorial and Video)

Peeking inside Convnets

Visualizing Features from a Convolutional Neural Network

Visualizing Deep Neural Networks Classes and Features

Visualizing parts of Convolutional Neural Networks using Keras and Cats

Visualizing convolutional neural networks


Topological Visualisation of a Convolutional Neural Network

Visualization of Places-CNN and ImageNet CNN

Visualization of a feed forward Neural Network using MNIST dataset

CNNVis: Towards Better Analysis of Deep Convolutional Neural Networks.

Quiver: Interactive convnet features visualization for Keras

Published: 09 Oct 2015