Twitter Beğeni Hilesi

Nope, it wasn't just another program. It wasn't motivation either. buildspace sowed the seed of "building stuff i love" in me. Can't thank Farza 🇵🇰🇺🇸 and all the amazing folks working there. spectreseek for life.

life rn.

Completed reading all the blogs I had on my list. I need some new recommendations. Please suggest blogs on deep learning and similar topics.

First experience with Cursor -- Loving it ✨

14 hours into the video. the 'happy chemicals' want me to keep going, but have exams from tomorrow so will study for that now.

Anyone who has played this game is my friend without any introduction.

Inclined adarsh se declined adarsh bante jaa raha hu Anyways, time to work harder.

Utho Rejection email padho Khana khao So jao

Need to complete so much in the next few hours for today's Internet of Things theory exam. I like the subject, it's the computer networking part that I hate. Let's see how it goes.

wondering where this will take openai in comparison to claude. also, really interested in seeing how it'll perform in the long run, having no capability of browsing the internet but being better than 4o.

Here's a good read for understanding token based pagination. Good start to the day. betterprogramming.pub/why-token-base…

I'd never pull some marketing stunt at BiOS Community without actual value. That's not how we roll.

Speedrun? Deep learning from scratch.

・regularization & dropout -- intuition, maths and implementation ・normalization, vanishing/exploding gradients, weights initialization, etc. ・1/2 of first chapter from deep learning from scratch ・cleaned my keyboard all in all, good day.

From the smallest idols at homes to Lalbaugcha Raja, the size of idols change but the devotion remains the same. Seeing visarjan of Bappa Morya is sad and wholesome at the same time. All I can say is -- Ganpati Bappa Morya, pudhchya varshi lavkar ya🙏

do you part and fill the scikit learn 2024 survey -- forms.gle/zUXvWjGUN1nWhJ…

・ finished chapter 1 of deep learning from scratch in python ・ 16 hours into the learn pytorch video ・ revised recall, precision, f1 and roc curve not a good day. need to do better.

okay yeah, i gotta work more on this thing any suggestions for learning and better understanding of data visualization?

・ finished ½ of the second chapter of deep learning from scratch book ・ studied about nlp using keras for my upcoming talk ・ tried (and failed) implementing weighted average sum average oh also, here's my reading list inspired by astle dsa -- adarshdubey.notion.site/Adarsh-s-Readi…

Done with the first 2 chapters of Deep Learning From Scratch book. Highly recommended if you want to get your hands dirty with the mathematics of deep learning. Omw to build a deep learning framework in the 3rd chapter.