This is a guide to make deep learning less messy and hopefully give you a way to use less tissues next time you code.
If you can answer yes to most of them. Read. Or cry. Your choice of course.
Imagine this. You have a 6 page paper in front of you. Something with a long and scary title. Maybe some crazy equations. (Yes math oops). Woah now you see endless text. Oh lord is that a graph which makes no sense?! Yes. Why why why!!
Mom come save me I’m scared.
Reading a research paper is challenging for everyone, especially if you are a beginner and the field is already hard enough. Sometimes it feels like you are slowly sinking into a pool. But hey! I am here to offer some life support. …
Yay! you just made an awesome project. Now you want to let the whole world use it! But wait, what about the requirements? You of course want to make sure that your dear users don’t have to manually go hunting for each dependency right?
This is a tiny tutorial on how to do this easily and some tricks along the way.
Pull to refresh. Swipe to refresh. Swipe up. Scroll. Scroll. Pull. Scroll.
Sounds like a typical day? Me too. But why does it all happen? Why do we keep doing the same things, looking for the same things to happen. Even more so these days when almost all of us are stuck at home. I’m no psychologist by any means but lately, I have been thinking a lot about this and so I was prompted to share my story and ways I have found that helps.
Over the past year or so, a typical routine for me would involve the…
Ever made a library, added documentation and then thought “Ugh I need to make this into a website so my users can see whats there. Why is it so much work?”. Here is the solution to your problems. (No fixes for demotivation sorry)
Note: This only works for Python code. It will work perfectly on Linux/MacOS/WSL with no issues. Windows.. you might need to change the commands to suit your shell.
What you will have by the end of this short tutorial
Over the past few centuries, civilization has progressed rapidly but at the cost of our environment. Illegal deforestation as well as hunting is at an all-time high due to the current situation and human greed. Can we make a humble effort to save our forests using deep learning? How about trying to identify if any sounds were corresponding to that of logging or shooting?
Let us see how we can implement this using PyTorch in a simple to understand manner.
Before we get into any of the…
Do you use social media? Ever sent someone a picture and when you look at it later you find that the image is so bad in quality? What if you could reverse that?
The main objective -> Take an image and upsample it by 3x (That means if an image is initially 100x100 by the end we have a 300x300 image) without losing any information. Now if we decided that we want the image to be 100x100 we could resize it but it would be of a much higher resolution than before.
We will look at how to pose this…
Want the smarts machine learning offers? That is awesome, but how secure is your data there really? And what if you could have the benefits without there being a chance of your data being leaked? We will have a look at Federated Learning and understand how it works. We will also look at a few papers and what they have to say on the matter and take the library Syft for a whirl.
Think about this from the perspective of an app that connects you with your doctor. It is a great app and even can forecast future appointments and…
Why we ignore the magic of some layers in a neural network, and how to understand them better + 9 takeaways from an extremely interesting paper.
Batch Norm is one of the most widely used layers in a neural network. Ever since it came out, it became possible to train neural networks that were faster, more accurate, and more resistant to change. Sounds almost magic doesn’t it? You would think, for something so magical, the implementation must be crazy hard. (You would be wrong)
How smart are neural networks? And can we break them and fool them into doing dumb things?
Today we have a special guest. His name is Termy, he is a friendly robot from the year 2025. What is cool about him is that he has an AI and a really nice personality. He loves people and animals. (Or at least is told to). He is programmed to never hurt them. The only thing he hates is guns. He will try to break them as soon as he finds them.
On the way sadly, his system was hacked. Termy, being from…