This course provides fundamentals of deep learning concepts and models are provided by means of the Keras and TensorFlow and it details how deep learning models work and which tools can be used for deep learning development. Throughout the course, students will learn the applications of deep learning models in the areas of supervised learning, transfer learning, reinforcement learning and unsupervised learning.
Entry-level programming knowledge is required for participation in the course.
Delegates will learn
- Basic Deep Learning Architecture
- Convolutional Neural Networks
- Recurrent Neural Networks
- Transfer Learning – Reinforcement Learning
- Unsupervised Learning