Knowledge Is Power

Brief table of contents  Part 1. What are neural networks and what can they do? Neural networks solve intellectual problems Types of problems that neural networks solve Differences between neural networks and classical machine learning The structure of the biological and model of artificial neurons Types of training Neural network architectures How does a neural network fit into Production? Deep learning libraries and how we will work Part 2. How to write a neural network in Python? Writing code to recognize handwritten digits Creating and training a neural network Analysis of training results and recognition of data from the test set How to research further What are neural networks and what can they do? Neural networks solve intellectual problems Let's start with the main one. The main purpose of neural networks is the solution to intellectual problems. In order to understand what is an intellectual task and what is not, let's look at an example. Let's say you're at