Explored the real clinical dataset 🧬
📂 Indiana University Chest X-ray Collection
- Images counted per class
- Label distribution checked
- 10 random samples visualised per category
- Corrupted files flagged
- Class imbalance analysed
The 2017 CheXNet paper still stands out, Pneumonia Detection from chest X-rays learned end-to-end with a CNN. Early but powerful medical AI.
https://t.co/zTwLlqOwFp
#MachineLearning#Healthcare#DeepLearning
I tend to meet the world with thick skin, but nothing humbles me like the quiet finality of death. It is a sudden, sharp lens that burns away the trivial noise we waste our days chasing, forcing us to look at the only things that ever truly deserved our love.
#life#death
Built an AI tool that plans my whole week around my work, gym, personal life automatically.
ML learns from feedback and gets smarter every week.
Also exports to google calendar + apple reminder
Note : Open to contributions, feature requests, and ideas.
https://t.co/dpeEI7AfpK
we are here to drink beer, we are here to kill war, We are here to laugh at the odds and live our lives so well that death will tremble to take us" - Charles Bukowski
Building a simple neural network from scratch in java which includes
Feedforward, backward propagation, Loss Function, Activation Functions
https://t.co/kv8Vja9emL
#Java#coding#AI#dev
Neural Network Feedforward ( one layer ) in Python vs Java language
Python: “I’ll just guess your types and do the magic ”
Java : “Type. Type. Type. Now… compile. Wait… fix that. Compile again.”
#CodingLife#PythonVsJava#ProgrammerHumor
Built a tiny neural net from scratch to read handwritten digits. 0 - 9
784 inputs → 2 hidden layers → 10 outputs
1. Forward pass
2. Backprop
Watching it go from random noise → recognizing numbers feels like magic!
#ML#DeepLearning#Python
@TheVixhal This is absolutely amazing man, actually built same with python but used sigmoid as activation and used Xavier initialisation to handle the vanishing gradient issue