practice the mathematics, engineering and theory behind modern ML systems.
| Title | Difficulty | Tags | Acceptance | |
|---|---|---|---|---|
| 1 | Hello Tensor | Easy | NumPyArrays | — |
| 2 | Dot Product | Easy | VectorsLinear AlgebraNumPy | — |
| 3 | Matrix Multiply | Easy | MatricesLinear AlgebraNumPy | — |
| 4 | Sigmoid Function | Easy | Activation FunctionsNeural NetworksNumPy | — |
| 5 | Mean Squared Error | Easy | Loss FunctionsStatisticsRegression | — |
| 6 | Softmax | Medium | Activation FunctionsNeural NetworksNumPy | — |
| 7 | Euclidean Distance | Easy | VectorsLinear AlgebraDistance Metrics | — |
| 8 | Layer Normalisation | Hard | NormalisationBackpropagationNumPyTransformers | — |