The document discusses three major computer vision tasks solved using deep learning: image classification, object detection, and embeddings. Image classification involves categorizing whole images into classes. Object detection combines classification and localization to identify multiple objects within an image. Embeddings represent inputs as vectors to capture semantics and preserve similarity. Pre-trained models and large datasets are used to train systems that can then be applied to problems like medical diagnosis, quality control, and autonomous vehicles.