Welcome to my TensorTonic solutions repository!
Here you'll find my solutions to various machine learning and deep learning problems from TensorTonic.
TensorTonic is a platform where you can implement core algorithms of Machine Learning from scratch.
This repository contains my personal solutions to these problems, automatically synchronized from the platform.
Verified machine learning implementations completed on TensorTonic.
| Problem | Description | Link |
|---|---|---|
| Implement Dot Product | Implement the dot product of equal-length numeric vectors by summing element-wise products without library shortcuts. | https://www.tensortonic.com/problems/dot-product |
| Implement Gradient Descent for a 1D Quadratic | Optimize a one-dimensional quadratic with iterative gradient descent and return the parameter trajectory. | https://www.tensortonic.com/problems/gradient-descent-quadratic |
| Implement Sigmoid in NumPy | Implement a vectorized sigmoid activation in NumPy for scalars, lists, vectors, and matrices, including large positive and negative inputs. | https://www.tensortonic.com/problems/sigmoid-numpy |
View my verified ML profile: TensorTonic profile