Learning Outcomes

In this free course, you will learn how to:

• Outline the role of convolutional neural networks (CNNs) in analyzing images
• Discuss the application of backpropagation in CNNs
• Identify the various CNN architectures used for image classification
• Explain the features of CNNs in image classification
• Identify the prospects of the various features for discriminative localization
• Describe the methods of identifying and locating objects within an image
• Explain the process of splitting an image into different regions
• Summarize the process of segmenting images using CNNs
• Explain the role of recurrent neural networks (RNNs) in modeling sequence data
• Define what exploding and vanishing gradient problems are in RNNs
• Describe the methods of processing videos using CNNs and RNNs
• Recall the methods for interpreting and understanding the applications of CNNs