Pinned Repositories
ImperialCTF22
Neural-Network
drp31
Hold yourself accountable
neural-network-height-maps
The aim of this visualisation is to demystify the working of neural networks for students by using neural network height maps. It is intended to give insight into the exact correlation that the weights and biases of a set of neurons in a given layer of a Neural Network have on the characteristic features of the neuron(s) in the next layer by providing students a visual representation of the said neurons with the help of height maps.
render-library
The library will take as input a list of 3d polygons, the base colour of the plot and the angle of light and it will translate it to 2d using parallel projection and the shading is done based on the Phong Illumination Model which includes Spectral highlights.
resume-latex
rishav-c1
Config files for my GitHub profile.
ubo
Get the handy-man you need
rishav-c1's Repositories
rishav-c1/drp31
Hold yourself accountable
rishav-c1/neural-network-height-maps
The aim of this visualisation is to demystify the working of neural networks for students by using neural network height maps. It is intended to give insight into the exact correlation that the weights and biases of a set of neurons in a given layer of a Neural Network have on the characteristic features of the neuron(s) in the next layer by providing students a visual representation of the said neurons with the help of height maps.
rishav-c1/render-library
The library will take as input a list of 3d polygons, the base colour of the plot and the angle of light and it will translate it to 2d using parallel projection and the shading is done based on the Phong Illumination Model which includes Spectral highlights.
rishav-c1/resume-latex
rishav-c1/rishav-c1
Config files for my GitHub profile.
rishav-c1/ubo
Get the handy-man you need