Simple MLP NN with the following design:
- input layer, dimension=2,
- 1 hidden layer, activation function = sigmoid,
- output layer, activation function = sigmoid.
Simple MLP NN with the following design:
- input layer, dimension=2,
- 1 hidden layer, activation function = sigmoid,
- output layer, activation function = sigmoid.
- Logistic regression model developed using numpy with gradient descent as optimisation tool.
- The most popular clustering algorithm - k-means developed using only numpy and scipy with each steps presented on graphs.
- Gradient Descent with 1 parameter.
- Gradient Descent with 3 parameters.
- Matrix Multiplication.