Understanding Neural Networks: From Pixels to Predictions
A comprehensive program to understand the fundamentals of neural networks, their architecture, training process, and applications. This program uses the original text as its primary source, ensuring the program's structure and character accurately reflect the author's intent and explanations. The program also includes a hands-on exercise to build intuition.
Program Modules
Introduction to Neural Networks
Overview of neural networks, deep learning, and their inspiration from the human brain.
Day 1: Neural Network Basics
WeeklyExplore the foundational concepts of neural networks.
Building a Simple Neural Network
Constructing a neural network to differentiate between shapes (square, circle, triangle).
Day 2: Network Architecture
WeeklyDeep dive into the architecture of neural networks.
Day 3: Back Propagation and Training
WeeklyLearn how the network learns.
Applications and Future of Neural Networks
Discuss real-world applications and the ongoing research in neural networks.
Day 4: Applications
WeeklyExplore real-world applications of neural networks.
What You'll Accomplish
- Understand the basic architecture of neural networks.
- Explain the process of forward and backward propagation.
- Identify real-world applications of neural networks.
- Discuss the ethical considerations surrounding the advancement of neural networks.
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