coursera tensorflow

Learning notes TF024: TensorFlow achieves Softmax Regression (Regression) Recognition of handwritten numbers, tf024softmax TensorFlow implements Softmax Regression (Regression) to recognize handwritten numbers. MNIST (Mixed National Institute of Standards and Technology database), simple machine vision dataset, 28x28 pixels handwritten number, only grayscale value information, blank part is 0, handwriting a

The first is tensorflow to clone to a local copy.git clone--recurse-submodules https://github.com/tensorflow/tensorflow.gitSince it is Google's official request, it is best to --recurse-submodules Add, the document said can avoid some data structure serialization when the problem of compilation.This is the GitHub homepage for Android demo.Preparing for compilation 1. Install BazelbazelIs Google's own build

Broadcast operation (broadcasting operation) An operation that uses Numpy-style broadcasting to ensure the morphological compatibility of tensor parameters. Devices A piece of hardware that can be used to compute and have its own address space, such as the GPU and CPU. Eval Tensor a method that returns the value of Tensor. This value is calculated to trigger any graph calculation. Can only be in a session that has been startedTo invoke the Tensor value in the diagram. Feed A concept of

Get ready: The l4t 27.1 an Ubuntu 16.04 64-bit variant (aarch64) CUDA 8.0 cudnn-5.1.10 TensorFlow installation requires CUDA and CUDNN installed versions: TensorFlow v1.0. 1 Increase the size of the swap swap area: Create Script $ mkdir ~/swap/ $ cd ~/swap/ $ vim createswapfile.sh //script content as follows #!/bin/bash #NVIDIA Jetson TX1 in 3D card #Create a swapfile to Ubuntu at the current directory lo

Welcome reprint, but please be sure to indicate the source and author information. TensorFlow Introduction (i) Basic usage Refer to:http://wiki.jikexueyuan.com/project/tensorflow-zh/get_started/basic_usage.html@author: Huangyongye@date: 2017-02-25 This example is mainly based on TensorFlow's Chinese documentation to learn the basic usage of tensorflow. According

about TensorFlow The TensorFlow is an open source software library that uses a data flow graph (graphs) for numerical calculations. A node (Nodes) represents a mathematical operation in a diagram, and a line (edges) in the graph represents a multidimensional array of data that is interconnected between nodes, that is, tensor (tensor). Its flexible architecture allows you to expand calculations on multiple

The release of TensorFlow itself is based on Ubuntu, so it's more convenient under Ubuntu than under Windows. There are three kinds of installation methods, see TensorFlow the second chapter of the construction of the environment. This article describes using PIP to install CPU-based TensorFlow.1, download install pip:$ sudo apt-get install Python-pip Python-dev2

TensorFlow implements the Softmax regression model, tensorflowsoftmax I. Overview and complete code Tensorflow encapsulates MNIST (MixedNational Institute of Standard and Technology database), a very simple machine vision dataset, and can directly load MNIST data into the expected format. this program uses Softmax Regression to train the classification model for Handwritten Digit Recognition. First look at

The current popular deep learning library has Caffe,keras,theano, this article uses the Google Open source has used to make Alphago's deep learning system TensorFlow.1: Install TensorFlowThe earliest TensorFlow only supported Mac and Linux systems and currently supports Windows systems, but requires a python3.5 (64bit) version. TensorFlow has CPU and GPU versions