MOOC - Artificial Intelligence Technician
Deep Learning and Neural Networks
The last unit of this job role is an introduction to deep learning, a particular branch of artificial intelligence, and neural networks. It provides learners an elaborated description of Deep Learning, differentiating it from Machine Learning and Artificial Intelligence.
Deep Learning Applications and Real-Life Examples:
This learning element focus on the applicability of Deep Learning, offering an elaborated overview of the main areas of knowledge and applications of Deep Learning through real-life examples and use cases. In addition, this element provides insights on the development, training, deployment and assessment of a deep neural network as well as the challenges associated with this process.
AIT.U3.E7.PC1
The student knows different application domains of deep learning.
AIT.U3.E7.PC2
The student is able to explore and analyse several examples and applications of deep learning.
AIT.U3.E7.PC3
The student understands the challenges surrounding deep learning approaches.
AIT.U3.E7.PC4
The student is able to identify the ingredients required to start a deep learning project.
AIT.U3.E7.PC5
The student is able to train a deep neural network.
AIT.U3.E7.PC6
The student knows how to deploy deep neural networks into applications.
AIT.U3.E7.PC7
The student is able to identify techniques for improving the performance of deep learning applications.
AIT.U3.E7.PC8
The student recognizes the challenges and the importance of deep learning.