Beginner Deep Learning

Master the fundamentals of deep learning with this comprehensive course designed for beginners. Learn to build neural networks from scratch, understand the mathematics behind them, and train your first deep learning models.

Course Overview

This course provides a solid foundation in deep learning, starting from basic concepts and progressing to practical implementation. You’ll understand the mathematics behind neural networks and gain hands-on experience with modern deep learning frameworks.

What You’ll Build

• Neural Network from Scratch: Implement a complete neural network using only NumPy
• Image Classification Model: Build a deep learning model to classify handwritten digits
• Regression Model: Create a neural network for predicting continuous values
• Binary and Multi-class Classifiers: Build classification systems for real-world problems

Prerequisites

This course builds upon machine learning foundations. You should have completed our “Machine Learning Foundations” course or have equivalent knowledge.

Course Structure

Progress systematically from mathematical foundations to practical implementations, ensuring you understand both the theory and practice of deep learning.