Deep Learning Demystified Using Python

The Python Lab
8 min readOct 5, 2023

This tutorial aims to demystify deep learning using Python. Deep learning is a subfield of machine learning that focuses on training artificial neural networks to perform complex tasks. In this tutorial, we will explore the fundamentals of deep learning, including neural networks, activation functions, loss functions and optimization algorithms. We will also build a complete deep learning project using Python, incorporating object-oriented programming concepts and comprehensive code examples.

Photo by AltumCode on Unsplash

Table of Contents

  1. Introduction to Deep Learning
  2. Neural Networks
  3. Activation Functions
  4. Loss Functions
  5. Optimization Algorithms
  6. Building a Deep Learning Project
  7. Conclusion

1. Introduction to Deep Learning

Deep learning is a subset of machine learning that involves training artificial neural networks to learn from data and make predictions or decisions. It is inspired by the structure and function of the human brain, where neurons are interconnected to process and transmit information.

Deep learning has gained significant popularity in recent years due to its ability to solve complex problems in various…

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The Python Lab
The Python Lab

Written by The Python Lab

Discovering the power of algorithms in Python. Exploring ML, AI, and Deep Learning. Data-driven trading strategies.