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.
Find how deep learning can benefit healthcare and finance, study industrial use cases, and see the advantages of intelligent video analytics and anomaly detection.
