Object Detection
									Implementing the YOLO (You Only Look Once) architecture for real-time object detection in images and videos.
									Implementing the YOLO (You Only Look Once) architecture for real-time object detection in images and videos.
									Colorizing grayscale images with Convolutional Neural Networks.
									Training an image reconstruction GAN to remove watermarks from pictures.
									Implementing the DeepLabV3+ architecture to segmentate humans from background in pictures.
									Identifying deflorestation in the Amazon Basin using satellite imagery and Convolutional Neural Networks.
									Leveraging transfer learning from ResNet50 to train a Mask RCNN neural network for instance segmentation of pedestrians.
									Generating images of numbers with a variational autoencoder and the MNIST dataset.
									Converting satellite imagery to street maps with a Pix2Pix GAN.
									Comparing different multimodal fusion techniques to optimize an emotion recognition system.
									Employing transfer learning (Xception and GloVe) to automatically extract image and text features used to train a neural network capable of captioning images.