I will try to keep this article free from equations and mouthful jargon— as much as possible. I, however, need you to at least have the following capabilities: Able to interpret simple graphs Elementary-level knowledge in probability. …

Prerequisites: I need you to have some basic understanding of Convolutional Neural Networks. It is okay if you don’t understand the backpropagation in CNN yet. But of course, you need to have a reasonably clear understanding of how backpropagation works in a fully connected network. …

I found so many contradicting arguments on the internet, which made me even more confused. Also, there were some places, which are too long or too technical for an easy question. So I am trying to put here in simple words what I understood from all those places. Translational Invariance …

Setup The Environment You can use your favorite IDE, or mine — PyCharm. If you need help setting up PyCharm, have a look here. You will also need to install PyTorch by running a simple command in the terminal — See https://pytorch.org/ for more information. As an example, If you…

In this tutorial, you will learn How to train and test a model in PyTorch How to evaluate model performance How to save and load models Assumption You know some basic programming (array, loop etc.) What are you going to do? #1: We will create a dataset with 1000 rows like the one below where: y =…

What you need: A Google account Less than 10 minutes Steps: Go to https://colab.research.google.com 2. Click “New Notebook” at the bottom. 3. You will find an area to write codes. Copy the codes below: from sklearn.linear_model import LinearRegression import numpy as np x_values = np.linspace(1,10,10) x_values = x_values.reshape(-1,1) y_values = -2 * x_values +…

Code: import colour rgb = [.8,.3,.1] XYZ = colour.sRGB_to_XYZ(rgb) xyY = colour.XYZ_to_xyY(XYZ) munsell = colour.xyY_to_munsell_colour(xyY) print(munsell) You need to install “colour-science”: pip install colour-science I cannot vouch if it is the correct scientific approach. I needed a quick conversion mechanism for a task, and it works for me. Since I did not find any easy guide on the internet, I thought to share this.

Sometimes programmers understand concepts better from code than from technical talks, or even worse — painful analogies. So, I will first give here the code to evaluate e, and then start the explanation (which might not be needed after you see the code): STEP = 100 GROWTH = 1 GROWTH_RATE = GROWTH…

Earlier I wrote an article suggesting what to DO when you start your journey on deep learning. This article will be on what NOT TO DO. 1. Don’t be over-obsessed with terminologies Trust me — you can learn a deep level of deep learning without knowing the perfect formal definition…