After sufficient training, a model achieved better-than-human performance on the Pong games, demonstrating the potential of deep learning for high-level control.
Learn how convolutional neural networks enhance image classification and visual search by making edge detection, pixel segmentation, etc. more efficient.
Learn how combining recurrent neural networks with TensorFlow can help in handwriting recognition, basic mathematical calculations, and sine wave modeling.
Learn how deep learning libraries compare to each other, what distributed TensorFlow is, and how a graphics processing unit can accelerate model training.
Learn about the challenges of pose estimation—poor image quality, occluded pose elements, etc.—and how to overcome them using fully convolutional networks.
