Artificial Intelligence Technician

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.


Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN):

This learning element gives a detailed description of CNN and RNN focusing on its definition and use cases. In addition, this element provides insights on how to choose the better architecture to a specific problem or situation. Finally, this element explains how to make RNN and CNN implementations with TensorFlow.

AIT.U3.E5.PC1
The student is able to define CNN and RNN.
AIT.U3.E5.PC2
The student understands the differences between CNNs and RNNs.
AIT.U3.E5.PC3
The student knows the different use cases of CNNs and RNNs.
AIT.U3.E5.PC4
The student is able to select the architecture that best fits a specific problem or situation.
AIT.U3.E5.PC5
The student is able to implement RNN and CNN with TensorFlow.