AI For Beginnters

Neural Networks

MXN = Y

M = No of samples

N = No. of features

Y = Vector of size M

Set up Virtual Environment

# Create a virtual environment

python -m venv ai_env

# Activate it

# Windows:

ai_env\Scripts\activate

# macOS/Linux:

source ai_env/bin/activate

Numpy

https://jakevdp.github.io/PythonDataScienceHandbook/02.01-understanding-data-types.html

np.array([3.14, 4, 2, 3])

np.array([1, 2, 3, 4], dtype='float32')

# Create a length-10 integer array filled with zeros

np.zeros(10, dtype=int)

# Create a 3x5 floating-point array filled with ones

np.ones((3, 5), dtype=float)

# Create a 3x5 array filled with 3.14

np.full((3, 5), 3.14)

array([[ 3.14,  3.14,  3.14,  3.14,  3.14],

       [ 3.14,  3.14,  3.14,  3.14,  3.14],

       [ 3.14,  3.14,  3.14,  3.14,  3.14]])

# Create an array filled with a linear sequence

np.arange(0, 20, 2)

array([ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18])

# Create an array of five values evenly spaced between 0 and 1

np.linspace(0, 1, 5)

array([ 0.  ,  0.25,  0.5 ,  0.75,  1.  ])