best tensorflow course

60 characters to solve Fizzbuzz problem:For x in range (101):p rint "Fizz" [x%3*4::]+ "Buzz" [X%5*4::]or XThe following is solved with TensorFlow, compared with the above is very complex, but very interesting, and suitable for learning tensorflow, Divergent thinking, expand the scope of TensorFlow application.TensorFlow Application FizzbuzzReprint Please specify

Deployment environment:Operating system: CentOS release 6.5 (Final)Python version:Python 2.7.10 (default, Dec 22 2016, 14:45:25)[GCC 4.8.2] on linux2[[email protected] ~]# pythonPython 2.7.10 (default, Dec 22 2016, 14:45:25)[GCC 4.8.2] on linux2Type "Help", "copyright", "credits" or "license" for more information.>>> Import TensorFlowSegmentation fault (core dumped)[Email protected] ~]#Workaround:Problem: scipy and TensorFlow conflictDeployment enviro

TensorFlow also fire for a period of time, think that since to study NLP, why not apply Google Open-source deep learning platform, all the first start from the environment.Many of the great gods have done this work, absorbing the experience of others, centos7+python3+TensorFlow"Note: Official documents (Chinese version) said that the current TensorFlow API needs

Now to make an Android app based on image recognition, leaving aside the UI part, the first thing to do is to run TensorFlow on Android.There are two ways to use TensorFlow on Android: TensorFlow for Mobile, more mature, contains many functional methods. TensorFlow Lite, is a 1 upgrade version, currently i

I downloaded the TENSORFLOW-1.5.0RC1-CP36-CP36M-WIN32.WHL first, then the command line installation.: Https://pypi.python.org/pypi/tensorflow/1.5.0rc1Pip Install TENSORFLOW-1.5.0RC1-CP36-CP36M-WIN32.WHLPIP installation Error: is not a supported wheel in this platformHttps://www.cnblogs.com/nice-forever/p/5371906.htmlDry Win10 Installation

Google released the open source depth learning tool TensorFlow. HTTP://TENSORFLOW.ORG/TUTORIALS/MNIST/BEGINNERS/INDEX.MD trial According to the official tutorial. The operating system is Ubuntu 14.04, 64 bits, Python 2.7, and has enough Python packages installed. 1. Installation 1.1 Reference Documentation Http://tensorflow.org/get_started/os_setup.md#binary_installation1.2 with PIP installation, need to use agents, or not even, this is the local

It is common to use Conda to create environments to isolate projects at work, and this document documents the method of installing TensorFlow using Conda.-Download and install Anaconda-Run the following command to configure the development environment #-n TensorFlow Set environment name to TensorFlow, specify Python version 3.5 Conda create-n

1. Loading requires modules and functions: Import Math Import numpy as NP import h5py import matplotlib.pyplot as Plt import scipy from PIL impo RT Image from scipy import ndimage import TensorFlow as TF from tensorflow.python.framework import Ops From cnn_utils import * %matplotlib inline np.random.seed (1) 2. Loading data and processing: # Loading the data (signs) X_train_orig, Y_train_orig, X_test_orig, y_test_orig, classes = Load_dataset () x_

Reference website:[1] tensorflow official website Tutorials [2] Geek College 's translation of TensorFlow's official website tutorial[3] How to install TensorFlow under Csdn-ubuntuhttp://blog.csdn.net/zhaoyu106/article/details/52793183 [CSDN]Https://github.com/tensorflow/tensorflow/blob/master/

Always have a habit, see open source code updated, always want to update to the latest version, if ignored, I feel lazy or some irresponsible, this may be a form of obsessive-compulsive disorder it; A few nights ago git pull tensorflow, after finished also did not go after it, these two days to think up or do things manage it, also want to focus on the study into the TensorFlow, do play to feel ^_^. Acco

Installation Environment Win10 Python3.6.4 More than 3.5 version can be, currently tensorflow only support 64-bit python3.5 above version NumPy After installing Python, open the terminal cmd input PIP3 install NumPy Specific ProcessDownload installation Cuda8.0， must be 8.0 version. Download the address and follow the image below to download the local installation package. If the installation is wrong remember to uninstall the previous removal c

Tags: getdir class latest Run 0.11 directory with validation LinuTensorFlow is a deep learning framework with two installed versions to choose from: TensorFlow with the CPU support is only recommended to install this version because it is easy to install and very fast (installs in just 5-10 minutes). TensorFlow with GPU support if you have an NVIDIA GPU, you can install this version. This versi

1. Installing TensorFlow Pip Pip is a Python package installation and management tool, and the installation method is as follows # ubuntu/linux 64-bit $ sudo apt-get install python-pip python-dev # Mac OS X $ sudo easy_install pip Installing TensorFlow # Ubuntu/linux 64-bit, CPU only, Python 2.7: $ sudo pip install--upgrade https://storage.googleapis.com/tensorflow