TensorTonic | Learn ML through code

Status

Problem

Topics

Difficulty

1.Implement Sigmoid in NumPy

Activation Functions

2.Logistic Regression Training Loop

OptimizationLoss Functions

3.Pad Sequences

NLPData Processing

4.Matrix Transpose

5.Implement Positional Encoding (sin/cos)

Linear AlgebraTransformers

6.Implement Gradient Descent for a 1D Quadratic

7.Implement Adam Optimizer Step

8.RMSProp Optimizer (Single Update Step)

9.Implement Dropout (Training Mode)

Neural Networks

10.Anchor Box Generation

Computer Vision

11.Apply 4×4 Homogeneous Transform

12.Value Iteration Step

Reinforcement Learning

13.Expected Value (Discrete Distribution)

Probability and Statistics

14.Precision and Recall at K

Recommender SystemsMetrics & Evaluation

15.Compute Entropy for a Node

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