Deep Learning and Neural Networks
Learn the fundamentals of deep learning and neural networks in this comprehensive training course.
In this course, participants will gain a deep understanding of the principles and techniques behind deep learning and neural networks. From the basics of artificial neural networks to advanced topics like convolutional neural networks and recurrent neural networks, this training program covers it all. By the end of the course, participants will be equipped with the knowledge and skills necessary to build and deploy their own deep learning models.
Course Syllabus
- Introduction to Neural Networks
- Artificial Neurons and Activation Functions
- Feedforward Networks and Backpropagation
- Optimization Algorithms for Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Generative Adversarial Networks
- Transfer Learning
- Deep Reinforcement Learning
- Natural Language Processing with Deep Learning
- Advanced Topics in Deep Learning
- Hands-on Projects and Case Studies
Course Additional Information
Basic knowledge of Python and machine learning concepts.
Periods
| Start date | End date | Start time | End time | Target Audience | Meetings | Code | |||||
| 01.01.1970 | 01.01.1970 | 00:00 | 00:00 | -A |
