Neural Networks In Python From Scratch. Build step by step!

🚀 Build Neural Networks In Python From Scratch. Step By Step! 📚

Course Headline: Unlock the mysteries of machine learning and deep learning by constructing linear regression and neural networks from the ground up with plain Python!

Course Description

Embark on a journey to understand the intricacies of Neural Networks through the lens of pure Python. In this course, you'll start with just four lines of code and gradually evolve your skills to create an artificial intelligence capable of recognizing handwritten digits - all without relying on any libraries!

Through hands-on learning, you'll grasp complex concepts such as:

• Feed Forward: How data flows through the neural network.
• Cost Functions: The heart of machine learning, guiding your model's optimization process.
• Back Propagation: The method by which networks learn from their errors.
• Hidden Layers: The power behind complex decision making in neural networks.
• Linear Regression: A simple yet powerful algorithm to predict outcomes.
• Gradient Descent: A fundamental algorithm for finding minimum values of functions.
• Matrix Multiplication: The mathematical backbone of neural network computations.

👩‍💻 Target Audience This course is perfect for:

• Developers eager to learn the mechanics of neural networks.
• Developers who prefer to build from scratch rather than using existing libraries and frameworks.
• Developers already using frameworks but seeking a deeper understanding of the underlying principles.

🚫 Challenges Many tutorials claim to teach from scratch, yet they often rely on complex code right off the bat or import external libraries. This can leave you feeling overwhelmed and discouraged before you've even begun to understand the process.

This course is different. We start at the very beginning, building each topic naturally from what we've learned previously. You'll learn neural networks from the ground up, step by step, with clear explanations that are perfect for beginners or those looking to solidify their existing knowledge.

What Can You Do After This Course?

• Understand Neural Network Concepts: Master back propagation and gradient descent.
• Build a Neural Network: Construct neural networks using any programming language without frameworks or libraries.
• Configure Neural Networks: Tune your network by selecting the right cost functions and adding hidden layers as needed.

Topics Covered

1. Linear Regression
2. Cost Functions
3. Bias
4. Multiple Inputs
5. Normalisation
6. Gradient Descent
7. Classification
8. Activation Functions
9. Multi-class Classification
10. Non-linear Data
11. Hidden Layers

🕒 Duration This course is designed to be completed in approximately 3 hours of video content. It includes no exercises, making it a concise and focused learning experience.

The Teacher

Loek van den Ouweland, your instructor for this course, brings over 25 years of professional software engineering experience to the table. He's the creator of Wunderlist for Windows, Microsoft To-do, and Mahjong for Windows. With a passion for teaching, Loek is excited to guide you through the complex world of neural networks with clarity and expertise.

Student Feedback

• “Great, simple explanations. Perfect for beginners that have little pre-knowledge of the topic.”
• “Straight to the point starting with the foundations.”
• “Clearly explained step by step how Neural Networks work and can be developed in a pure development language of choice without the usage of any external package.”

Join us on this educational adventure and unlock the potential of Python and neural networks! 🐍🧠✨