Adarsh Dubey (@inclinedadarsh) 's Twitter Profile
Adarsh Dubey

@inclinedadarsh

lead @bios_twt ・ core @wemakedevs ・ ✍️ theneuron.substack.com ・ ml engineer & web dev ・ community builder

ID: 1521524017160613888

linkhttps://adarshdubey.com calendar_today03-05-2022 16:17:14

1,1K Tweet

479 Followers

617 Following

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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.

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

Adarsh Dubey (@inclinedadarsh) 's Twitter Profile Photo

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.

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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.

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・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.

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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🙏

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・ 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.

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・ 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…

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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.

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.