Titlebook: Deep Learning with Python; A Hands-on Introduct Nikhil Ketkar Book 2017 Nikhil Ketkar 2017 Deep Learning.Python.Keras.Theano.Caffe.Deep Lea

ethnology

Detonation of Condensed ExplosivesIn this chapter we will cover some key concepts around feedforward neural networks.

TEM

Detonation of Condensed ExplosivesIn this chapter we introduce the reader to Theano, which is a Python library for defining mathematical functions (operating over vectors and matrices), and computing the gradients of these functions. Theano is the foundational layer on which many deep learning packages like Keras are based.

Carminative

Sara Martín,M. Isabel SantaulàriaConvolution Neural Networks (CNNs) in essence are neural networks that employ the convolution operation (instead of a fully connected layer) as one of its layers.

罐里有戒指

Sara Martín,M. Isabel SantaulàriaRecurrent Neural Networks (RNNs) in essence are neural networks that employ recurrence, which is basically using information from a previous forward pass over the neural network.

Bureaucracy

Rotator-Cuff

Sara Martín,M. Isabel SantaulàriaThis chapter gives a broad overview and a historical context around the subject of deep learning. It also gives the reader a roadmap for navigating the book, the prerequisites, and further reading to dive deeper into the subject matter.

發(fā)起

Skywalker: Bad Fathers and Good SonsIn the chapter on Stochastic Gradient Descent, we treated the computation of gradients of the loss function as a black box.

Liability

drusen

狂怒