martinferianc

# Adapted from https://github.com/SkalskiP/ILearnDeepLearning.py/blob/master/01_mysteries_of_neural_networks/03_numpy_neural_net/Numpy%20deep%20neural%20network.ipynb

import numpy as np
import matplotlib.pyplot as plt

np.random.seed(42)

# Define a sample function to sample a dataset of 2 dimensional points
def get_data(N = 300):
    # Generate a dataset of 2 dimensional points

martinferianc

import numpy as np
import torch
import torchvision.datasets as datasets
import logging
import os
from os import path
from sklearn.model_selection import KFold
import pandas as pd
import zipfile
import urllib.request

martinferianc