Machine Learning concepts

ml.txt

1. Learning Rate - https://www.youtube.com/watch?time_continue=179&v=lif_qPmXvWA

2. Perceptron - The model of neural network that we have having neurons connected to each other with input and output

3. Why do we need bias in deep learning - 

Bias is like the intercept added in a linear equation. It is an additional parameter in the Neural Network which is used to adjust the output along with the weighted sum of the inputs to the neuron. Therefore Bias is a constant which helps the model in a way that it can fit best for the given data.

y = wx + b

4. Activation functions and their use cases - https://ml-cheatsheet.readthedocs.io/en/latest/activation_functions.html