Lecture 3: Aritificial Neural Networks and Deep Learning
In recent years, deep learning has achieved remarkable success across various domains, including image and speech recognition, natural language processing, and more. This success has transformed industries and fueled advancements in artificial intelligence. Deep learning is a subset of machine learning models that fundamentally based on artificial neural networks (ANN). ANN is not a new concept; they were introduced well before the era of deep learning and its prominent models. The foundational ideas of neural networks date back to the mid-20th century, laying the groundwork for what would eventually evolve into the sophisticated deep learning techniques we see today.
Outline:
- 3.1 Introduction
- 3.2 The road to Artificial Neural Networks
- 3.3 Training Algorithm
- 3.4 Deep Learning
- 3.5 Convolutional Neural Networks
