TensorFlow and deep learning (without a PhD)

With TensorFlow, deep machine learning has transitioned from an area of research into mainstream software engineering. Martin Grner walks you through building and training a neural network that recognizes handwritten digits with >99% accuracy using Python and TensorFlow.

With TensorFlow, deep machine learning has transitioned from an area of research into mainstream software engineering. Martin Görner walks you through building and training a neural network that recognizes handwritten digits with >99% accuracy using Python and TensorFlow. Along the way, Martin discusses many standard deep learning techniques such as minibatching, learning rate decay, dropout, convolutional networks, and more and demonstrates how to implement them in TensorFlow.