Convolutional Neural Network in TensorFlow 翻译自Build a Convolutional Neural Network using Estimators TensorFlow的layer模块提供了一个轻松构建神经网络的高端API,它提供了创建稠密(全连接)层和卷积层,添加激活函数,应用dropout regularization的方法。本教程将介绍如何使用layer来构建卷积神经网络来识别MNIST数据集中的手...
之前我们已经通过TensorFlow建立了自己的分类器,现在我们将从基本的分类器转变为深度神经网络。我们以识别MNIST数据集中的手写数字作为目标,通过代码一步步建立神经网络。 代码 from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets(".", one_hot=True, reshape=False) #MNIS...
对4-D的input和filter进行 tensor之间 的2-D 卷积。 其中,input.shape= [batch, in_height, in_width, in_channels] ,filter.shape= [filter_height, filter_width, in_channels, out_channels],stride为长度为4的int型一维列表。 tf.nn.conv2d_transpose 2-D 卷积(tf.nn.conv2d)的转置 tf.nn.conv2d...
my_filter):#Tensorflow's 'conv2d()' function only works with 4D arrays:#[batch#, width, height, channels], we have 1 batch, and#width = 1, but height = the length of the input, and 1 channel.#So next we create the 4D array...
Convolutional Neural Networks in TensorFlow - Learn about Convolutional Neural Networks (CNNs) in TensorFlow, including architecture, layers, and practical implementation tips.
The activation ops provide different types of nonlinearities for use in neural networks. These include smooth nonlinearities (sigmoid,tanh, andsoftplus), continuous but not everywhere differentiable functions (relu,relu6, andrelu_x), and random regularization (dropout). ...
This is a TensorFlow implementation of Diffusion Convolutional Recurrent Neural Network in the following paper: Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu, Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting, ICLR 2018....
a citation network which does not fit into memory is currently not explored. Although distribution strategies for training are already integrated into TensorFlow’s high-level Keras API, they have not yet been tested with the models provided by kgcnn. We plan to continue to extend the kgcnn ...
An implementation of the Fast Super-Resolution Convolutional Neural Network in TensorFlow - igv/FSRCNN-TensorFlow
高大上的开头结束了,我们也要接地气去了。TensorFlow的函数,很多还是麻烦的很,大约是我能力比较差,官方的解释文档看得我一头雾水。 Program 1: Deep Learning & Art: Neural Style Transfer scipy.misc.imread() scipy.misc.imread(*args, **kwds) ...