Neural Networks Made Easy

🤯 Course Title: Neural Networks Made Easy by Ben Gorman 🌍

Are you ready to demystify the world of neural networks? 🚀 With "Neural Networks Made Easy," you'll embark on a journey that makes deep learning concepts as clear as a crisp fall day! By the end of this course, not only will you understand the intricacies behind neural networks, but you'll also have the skills to code them from the ground up. 🧠👩‍💻

Course Headline: 🐶 So easy, your dog could learn them!

Course Description:

Dive into the fascinating world of neural networks with an approach that's as easy-going as a good walk in the park. In this course, we kick things off by exploring the foundational concepts of perceptrons and gradually build up to coding a fully functional multiclass neural network capable of recognizing handwritten digits from the MNIST dataset. 📊

• Understanding Perceptrons: We'll start at the beginning, demystifying perceptrons in a way that clicks.
• Multiclass Neural Networks: Our journey will culminate in creating a neural network that can classify different classes of data with high accuracy.
• Stochastic Gradient Descent (SGD): Along the way, we'll delve into the optimization technique used to train our networks effectively.

Course Goals:

🚀 Mastery Awaits: This course is designed for those who want to understand neural networks at their core. We won't be using libraries like TensorFlow or PyTorch; instead, you'll grasp the concepts so thoroughly that learning these frameworks will become child's play.

• Foundation First: By focusing on the basics, you'll build a robust understanding of neural networks from scratch.
• Implementation and Theory: Combining theoretical knowledge with practical implementation challenges, you'll be ready to tackle real-world data processing tasks.

Challenges:

🎯 Put Your Skills to the Test: Throughout the course, I present coding challenges right within the video lectures. We'll discuss an idea or algorithm, and then it's your turn to implement it in Python. Don't worry about getting stuck; I'll walk you through my solutions and share my code on GitHub for reference.

Prerequisites:

🎓 What You Need to Know: This course assumes you have a basic grasp of Python, as well as some familiarity with NumPy and Pandas. Calculus will also play a role, but don't let that intimidate you! I break down all the concepts with clear examples and visuals, ensuring even those who've shied away from math can jump in confidently.

Need to brush up on Python, NumPy, or Pandas? No problem! Check out my complimentary courses: "Python NumPy For Your Grandma" and "Python Pandas For Your Grandpa," designed to get you up to speed without the fear of complex calculations.

Join Ben Gorman on this engaging adventure into the heart of neural networks, where the learning curve is as friendly as a tail-wagging pup! 🐕🎉