DL with Pytorch - Week 2

Done with Assignment 2 🤩🎉😎🎊
Learned about linear regression and loss functions of PyTorch.
The attached Jupyter Notebook contains a detailed explanation. Have a look at it.



Running late on submission of assignments so, will be updating this post to be more interesting once I am done with assignments

Comments

Post a Comment

Popular posts from this blog

Data Science 

Image
Data Science — including machine learning, data analysis, and data visualization First of all, let’s review what machine learning  is . I think the best way to explain what machine learning is would be to give you a simple example. Let’s say you want to develop a program that automatically detects what’s in a picture. So, given this picture below (Picture 1), you want your program to recognize that it’s a dog. Picture 1 Given this other one below (Picture 2), you want your program to recognize that it’s a table. Picture 2 You might say, well, I can just write some code to do that. For example, maybe if there are a lot of light brown pixels in the picture, then we can say that it’s a dog. Or maybe, you can figure out how to detect edges in a picture. Then, you might say, if there are many straight edges, then it’s a table. However, this kind of approach gets tricky pretty quickly. What if there’s a white dog in the picture with no brown hair? W
Read more

Learning Path for Deep Learning in 2019

Image
Learning Path for Deep Learning in 2019 Here is a high-level overview of the core concepts you should and master in the deep learning sphere: Getting Started:  Deep learning is a vast field made up of several components. So to kick off your learning journey, it is recommended to start from the ground up. The first month will be all about understanding what deep learning means, covering basic descriptive statistics and probability concepts, and learning Python! Machine Learning Basics:  The logical next step in our learning path takes you into the world of machine learning. This includes techniques like linear regression, logistic regression, and regularization methods. Deep learning cannot be truly grasped until you know the core concepts of linear algebra and calculus, so complement your skill-set with an introduction to matrices, vectors and derivatives. Introduction to Deep Learning and Keras:  This is what you’ve been waiting for! March is when we recomm
Read more

Day 6 - Daily Dev Diaries

So, today I was pretty much free from different small works I was having from the past 3 days, so I tried to complete the course on Datacamp as much as possible, also, made a lot of progress🏃‍♂️ in open source development. Although, I wasn't able to make any progress in the Udacity course.Although I might forget to mention yoga🧘‍♂️, form now on as it is now becoming my habit to do it on a daily basis. Also, today I got 2 rejection emails🥺: GirlScript Web Developer Internship Hewlett-Packard(HP) SDE intern I will try to improve more on my skill-set. I also got to know about the competition, Code League , organized by Shopee, an MNC. But the sad part was that it is for a limited set of countries, and my country is not amongst them, so, can't participate😔. Anyways, there are a lot of events organized worldwide, so, no issues😅. Tomorrow's goal is to complete the Datacamp course as tomorrow is the last day of free week. And also, contribute to open source as and
Read more