Duration
Neural Networks and Deep Learning in AI
5 days
Overview
This intensive 5-day program provides a comprehensive introduction to the world of neural networks and deep learning. Participants will gain a solid foundation in the underlying concepts, mathematical principles, and practical implementation techniques. By the end of the course, attendees will be equipped to build and deploy neural networks for a variety of applications.
Target Audience
- Data Scientists
- Machine Learning Engineers
- Software Developers
Course Objectives
- Develop a comprehensive understanding of neural networks and deep learning
- Master the mathematical foundations essential for deep learning
- Gain hands-on experience in building and training neural networks
- Apply deep learning techniques to solve real-world problems
Module 1: Introduction to Deep Learning (2 days)
- Understanding the evolution and impact of deep learning
- Exploring key applications across industries
- Differentiating deep learning from traditional machine learning
- Identifying the potential and limitations of deep learning technology
Module 2: Neural Network Fundamentals (1 day)
- Uncovering the building blocks of neural networks
- Mastering activation functions and their role in neural networks
- Grasping the concept of loss functions and optimization
- Understanding the mechanics of gradient descent and optimization algorithms
Module 3: Shallow Neural Networks (1 day)
- Constructing and training basic neural networks
- Implementing backpropagation for parameter optimization
- Evaluating neural network performance
- Fine-tuning hyperparameters for optimal results
Module 4: Deep Neural Networks (1 day)
- Delving into the world of complex neural network architectures
- Exploring convolutional neural networks (CNNs) for image processing
- Understanding recurrent neural networks (RNNs) for sequential data
- Mastering long short-term memory (LSTM) networks
- Applying deep learning to real-world challenges through case studies
Learning Methodology
- Interactive lectures and presentations
- Hands-on coding exercises and projects
- Group discussions and problem-solving activities
- Real-world case studies and industry applications
Assessment
- Quizzes and assignments
Main Coding Language
- Python is primarily used for the coding aspects of the course with usage of popular Python libraries and tools
By the end of this course, participants will have a strong foundation in neural networks and deep learning, enabling them to confidently tackle complex problems and contribute to AI projects.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.