Deep Learning CNN Convolutional Neural Networks with Python - RCNN

The video tutorial discusses RNNs, specifically region proposals and convolutional neural networks (CNNs), focusing on object detection. It explains the process of image segmentation in RCN, where images are clustered into regions for object detection. The tutorial also covers faster RCN implementations using CNNs for both segmentation and classification. A comparison with YOLO is made, highlighting efficiency and personal opinions on the two methods. The video concludes with a preview of upcoming projects in TensorFlow, including face verification and neural style transfer.

In what ways does the author compare Yolo and RCN in terms of performance?

What future projects involving convolutional neural networks are mentioned?