Ankur Singh

College life me bhale hi thodi tension ho but bahut achi thi...

🚀 Nexus Network is recruiting PR Team Members! Looking for college students interested in: • Social media • Community building • Content promotion • Online networking ✨ Flexible work ✨ Weekend-based tasks ✨ Certificate opportunity ✨ Remote role Link in comment

@nidhisinghattri @GoogleDeepMind Your welcome:)

@ankur_136 @GoogleDeepMind thank you :)

here's everything you need to know about the latest AI model from google: gemma 4 you can run it on your laptop, and even on your phone. that too for free 0:00 10 million downloads in a week 0:20 What is Gemma 4 from @GoogleDeepMind 1:23 The 4 models explained 3:13 Benchmarks that matter 5:17 How Google made it so efficient 6:56 How you can run it locally via @ollama 7:24 My honest take

My project “Big JSON – Online JSON Formatter & Validator” is currently at #6 on Peerlist. *Please support it with an upvote.* peerlist.io/bestcodes/proj…

What is recursion?

Our project Big JSON – Online JSON Formatter & Validator is live on Peerlist. If you already supported it, I truly appreciate it. If not, please consider giving it an upvote here: peerlist.io/bestcodes/proj… Your support means a lot.

Hey AI community Machine specifications: Ryzen 7 7730U, 26 GB RAM, no dedicated GPU Which open source model can easily run on this machine? @ollama

@the_best_codes @iori73wsy You too

@ankur_136 @iori73wsy Congrats on the launch!

We @iori73wsy @the_best_codes have Just launched – the ultimate tool for API debugging Compare JSONs prettify responses and copy paths instantly. Perfect for frontend/backend devs & data engineers Check it out: bigjson.online First release crushing it globally! 🌍

Kitna khoobsurat chehra hai tumhara, Har dil to dekho na deewana hai tumhara Aur log kehte hain tum tukda ho chaand ka, Par mai to kehta hu Chaand bhi tukda hai tumahara ❤️

:)

How productive day looks like?

Do you know what a gradient is? Why is it so important in Machine Learning? In simpler terms, the gradient tells you how much and in which direction a function changes with respect to its inputs. In ML, the gradient tells the model how to adjust its parameters to reduce error.

Gradient Descent trains neural networks by minimizing the loss function. Neural Network is a complex mathematical function with adjustable variables(weights) Steps: 1. Initialize weights 2. Repeat until convergence 3. Compute gradient ∂J(W)/∂W 4. Update: W ← W − η∂J(W)/∂W

Have you ever wondered how training in neural networks happens? Think of neural network as long mathematical formula with adjustable number called weights. These weights control how data flows through network to make predictions. During training, network gradually adjusts them

@iori73wsy Nice work

I vibe coded 🧠🫠 "Visualizing the Birthplaces of Japanese Manga Artists and Anime Creators (Built in 1 Hour with Cursor)" medium.com/p/visualizing-…

Let’s dive more in loss function Types of losses Empirical Loss: measures the total loss over entire dataset Binary Cross Entropy: used with model that outputs the probability between 0 and 1 Mean Squared Error: used with a regression model that outputs continuous real number