Welcome to our Deep Learning Course! This comprehensive guide will help you understand the basics of deep learning and its applications in various fields.
Course Overview
- Introduction to Deep Learning: Learn about the history, principles, and applications of deep learning.
- Neural Networks: Understand the architecture and functioning of neural networks.
- Convolutional Neural Networks (CNNs): Explore CNNs and their use in image recognition.
- Recurrent Neural Networks (RNNs): Learn about RNNs and their applications in natural language processing.
- Practical Projects: Apply your knowledge to real-world projects and case studies.
Key Concepts
- Neural Networks: Neural networks are a series of algorithms that can recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
- Deep Learning: Deep learning is a subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.