Machine Learning.
Solved0/36
Machine Learning
Easy0/13
Medium0/21
Hard0/2
0/36Solved
| Status | Problem | Difficulty |
|---|---|---|
| Gradient Descent | Easy | |
| Sigmoid & ReLU | Easy | |
| Softmax | Easy | |
| Cross-Entropy Loss | Easy | |
| Linear Regression (Forward) | Easy | |
| Linear Regression (Training) | Medium |
| Status | Problem | Difficulty |
|---|---|---|
| Single Neuron | Easy | |
| Backpropagation | Medium | |
| Multi-Layer Backpropagation | Medium | |
| MLP from Scratch | Medium | |
| Weight Initialization | Medium |
| Status | Problem | Difficulty |
|---|---|---|
| Pytorch Basics | Easy | |
| Layer Normalization | Easy | |
| Batch Normalization | Medium | |
| RMS Normalization | Easy |
| Status | Problem | Difficulty |
|---|---|---|
| Training Loop | Medium | |
| Training Diagnostics | Medium | |
| Dead ReLU Detector | Medium | |
| Digit Classifier | Medium |
| Status | Problem | Difficulty |
|---|---|---|
| Word Embeddings | Easy | |
| Intro to Natural Language Processing | Medium | |
| Sentiment Analysis | Medium | |
| Positional Encoding | Easy |
| Status | Problem | Difficulty |
|---|---|---|
| Self Attention | Hard | |
| Multi Headed Self Attention | Medium | |
| Transformer Block | Medium |
| Status | Problem | Difficulty |
|---|---|---|
| Tokenizer (Byte Pair Encoding) | Medium | |
| Build Vocabulary | Easy | |
| Tokenization Edge Cases | Easy | |
| GPT Data Loader | Medium | |
| GPT Dataset | Medium | |
| Code GPT | Medium | |
| Train Your GPT | Medium | |
| Make GPT Talk Back | Hard | |
| KV-Cache | Medium | |
| Grouped Query Attention | Medium |