With this course, you will learn the underlying theories and methods of deep neural networks. You will get practical expertise in utilizing well-known frameworks like TensorFlow or PyTorch to create deep learning models. Deep learning applications in computer vision and challenges involving natural language processing will be covered in the course.
The course will also cover deep learning-specific difficulties and equip students with the knowledge they need to keep up with technological developments.
- Understanding foundational concepts of deep learning.
- Apply deep learning to natural language processing (NLP).
- Understand advanced deep learning architectures.
- Learn techniques to interpret and visualize the inner workings of deep learning models.
- Stay up-to-date with recent advancements.
- Lectures 0
- Quizzes 0
- Duration 29 Hours
- Skill level All levels
- Language English
- Students 27
- Assessments Yes