utkarsh
77 posts
Day 9
>>RNN using Pytorch
>> LSTM using Pytorch
#machinelearning #deeplearning
@deepzone_3 I'm thinking to start gen ai playlist . And build some projects side by side
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@sparsemaddy Wow ! Wonderful bro 👏, what's you plan after this playlist. Because i am confused about my next step.
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Day - 1 of mastering Deep Learning
It's been more than 3 months of continuous but not very consistent learning
But now I am going to beat my oldself ( not any other ) :)
>Completed the last lec of campusX pytorch playlist (next word predictor by LSTM)
#machinelearning
#AI
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@Shay_Slay_ I think it was just an act, she didn't mean anything. (I hope so)
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Every time I see someone proudly saying, "I hate all men," it disappoints me.
As a woman, I don't believe hatred based on gender is empowerment. Just as it's wrong to judge all women because of the actions of a few, it's equally wrong to judge all men the same way.
Most of us have fathers, brothers, friends, colleagues, or mentors who have supported us throughout our lives. Respect shouldn't depend on gender.
Extreme voices often get the most attention, but they don't represent an entire community.
Let's stop normalizing gender-based hate, whether it's directed at women or men.
Equality isn't about choosing sides. It's about treating people as individuals.
What's your take? Can we disagree without turning it into "all men" vs. "all women"?
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@Arnesh_24 Hii Arnesh . I'm also interested in research . Let's connect
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@corruptxSJ You can directly fit and transform the X_train by scaler fit_transform(X_train)
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Day 43 (23) of ML
> Feature Engineering
> Continuing Feature Scaling
> Worked On Normalization
> The Plotting isn't the same as per the dataset I have worked on but it represents the similar type of outcomes for my dataset.
#buildinpublic
SJ@corruptxSJ
Day 42 (22) of ML > Feature Engineering > Started with Feature Scaling. > Worked on Standardization also called Z-score Normalisation. > Things to learn:- • Missing Values Imputation • Handling Categorical data • Outlier Detection • Feature Scaling • Feature Construction • Feature Selection • Feature Extraction #buildinpublic
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He's right guys, you won't regret it!
If you're into Tech, Let's connect & make it big😼
divyansh@Divyansh91565
guys, @skarsh24 is one of the most hardworking creators out there. i'd really appreciate it if you all connect with him too. he does cp, builds projects, and even writes poetry. trust me, you won't regret following him. 🫡
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utkarsh retweetledi
AlexNet (2012) was not just undeniable proof that deep neural networks work well but also undeniable proof that you needed just a couple of GPU chips and not a supercomputer for deep learning.
Before 2012, Google used to use 16000 CPU clusters spanning 1000 machines to train their cat classifier. AlexNet simply proved that you needed just 1 machine.
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Great blog to understand the LSTMs Networks with diagrams and how LSTM gates work. You can check his other blogs on the website.
colah.github.io/posts/2015-08-…
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@_btwitspalak Sapiens by Yuval harari is good .
Amish Tripathi and Chetan Bhagat books are trash .
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Its been 5 months I haven’t watched any new movie, show or series Feeling like watching one today.
Any reccs??? Suggest me some interesting stuff only.
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