NN#8 Neural Networks Decoded (Build your first NN in Python) 0 like March 3, 2025Share this postAuthor(s): RSD Studio.ai Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium.Welcome to the eighth article in our Neural Networks Decoded series! So far, weve covered the theoretical foundations of neural networks from perceptrons to activation functions, backpropagation and evaluation metrics. Today, well bridge theory and practice by building a complete neural network from scratch using Python.By the end of this tutorial, youll have created, trained, validated and deployed a neural network for a real-world classification problem. Lets take this journey step-by-step, connecting each practical component to the concepts weve explored in previous articles.First, lets install and import the necessary libraries:# Basic data manipulation and visualization librariesimport numpy as npimport pandas as pdimport matplotlib.pyplot as pltimport seaborn as sns# PyTorch for building our neural networkimport torchimport torch.nn as nnimport torch.optim as optimfrom torch.utils.data import Dataset, DataLoader# Scikit-learn for data preprocessing and evaluationfrom sklearn.preprocessing import StandardScalerfrom sklearn.model_selection import train_test_splitfrom sklearn.metrics import confusion_matrix, classification_report, accuracy_score# Set random seeds for reproducibilitynp.random.seed(42)torch.manual_seed(42)# For visualizing the model architecturefrom torchviz import make_dot# Enable interactive plots in Jupyter%matplotlib inlineplt.style.use('fivethirtyeight')In our setup, were using several libraries (You can install it using pip or conda):NumPy and Pandas: For data manipulation, just as wed need mathematical operations in our Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post