This 26-part course consists of tutorials on how to learn web development with Django from scratch. It's designed to be very hands-on and will walk you through every step of the web development process.
The primary objectives of this course are as follows:
Is it necessary to have knowledge of JS before starting this course?
Starting this week, I’ll be doing a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summarizing and explaining research papers in specific subfields of deep learning. This week I’ll begin with Generative Adversarial Networks.
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In this post, we’ll go into summarizing a lot of the new and important developments in the field of computer vision and co...
Adit, this series of CNN posts is truly amazing. I already knew quite a bit about CNNs but I decided to read them anyway. Thought I would leave a review and some notes on each one. :)
I was blown away by this part, learnt so much! Again...
The idea of linearly separable is easiest to visualize and understand in 2 dimensions. Let the two classes be represented by colors red and green.
A dataset is said to be linearly separable if it is possible to draw a line that can separate the red and green points from each other.
Here are same examples of linearly separable data:
This is the 2nd installment of a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summarizing and explaining research papers in specific subfields of deep learning. This week focuses on Reinforcement Learning.
Imagine you're blind folded in a rough terrain, and your objective is to reach the lowest altitude. One of the best and simplest strategies you can use, is to feel the ground in every direction, and take a step in the direction where the ground is descending the fastest. If you keep repeating this process, you might end up at the lake, or even better, somewhere in the huge valley.
The rough terrain is analogous to the cost function....