coursera tensorflow

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"TensorFlow" Prints all variables in TensorFlow graph--tf.trainable_variables ()

In general, there are two functions for printing tensorflow variables:tf.trainable_variables () and Tf.all_variables ()The difference is:Tf.trainable_variables () refers to the variables that need to be trainedTf.all_variables () refers to all variables In general, we are more concerned with training variables that need to be trained:It is important to note that the entire graph is initialized when the variable name is output First, print the name of

TensorFlow (iv) Realization of elastic network regression algorithm using TensorFlow (multi-linear regression)

=Tf.reduce_mean (Tf.abs (A)) L2_a_loss=Tf.reduce_mean (Tf.square (A)) E1_term=tf.multiply (elastic_p1,l1_a_loss) e2_term=tf.multiply (Elastic_p2,l2_a_loss)#here A is an irregular shape that corresponds to the array form of the 3,1 loss also expands the arrays formLoss=tf.expand_dims (Tf.add (Tf.add (Tf.reduce_mean (Tf.square (y_target-model_out)), e1_term), e2_term), 0)#Initialize Variablesinit=Tf.global_variables_initializer () sess.run (init)#Gradient Descentmy_opt=Tf.train.GradientDescentOpti

"TensorFlow Combat" tensorflow realization of the classical convolutional neural network vggnet

(): Image_size= 224Images=TF. Variable (Tf.random_normal ([Batch_size, Image_size, Image_size,3], Dtype=Tf.float32, StdDev=1e-1)) Keep_prob=Tf.placeholder (tf.float32) predictions, Softmax, FC8, p=inference_op (images, keep_prob) init=tf.global_variables_initializer () config=TF. Configproto () Config.gpu_options.allocator_type='BFC'Sess= TF. Session (config=config) sess.run (init) time_tensorflow_run (sess, predictions, {keep_prob:1.0},"Forward") O

Chapter III: New TensorFlow Introduction, processing features list __ New TensorFlow

1. Overview A feature column is a bridge between the original data and the model. In general, the essence of artificial intelligence is to do weights and offset operations to determine the shape of the model. Before using the TensorFlow version, the data must be processed in a kind and distributed way before it can be used by the artificial intelligence model. The appearance of feature columns makes the work of data processing much easier. 2, the fun

Deep learning tool: TensorFlow system architecture and high performance programming __deep

November 9, 2015 Google Open source of the artificial intelligence platform TensorFlow, but also become the 2015 's most popular open source projects. After 12 iterations from v0.1 to v0.12, Google released its version of TensorFlow 1.0 on February 15, 2017, and hosted the first TensorFlow Dev Summit conference in Mountain View, California, USA.

TensorFlow Deep Learning Framework

About TensorFlow a very good article, reprinted from the "TensorFlow deep learning, an article is enough" click to open the link Google is not only the leader in big data and cloud computing, but also has a good practice and accumulation in machine learning and deep learning, and at the end of 2015, open Source was used internally by the deep learning framework TensorF

Windows compiles TensorFlow1.3 C + + library and creates a simple TensorFlow C + + program

As a result of the recent busy, until the holidays are empty, so will learn from their own knowledge to share. If there is a wrong place, please point out, thank you! At present the deep study is getting more and more fire, the related worker who learns, uses TensorFlow more and more. Recently, a Python script was used to train the model under the TensorFlow line, and the Freeze_graph tool was used to outpu

Install TensorFlow on WIN10 (Official document translation)

I. Recommended TWO websites TensorFlow Official Document: Https://www.tensorflow.org/install/install_windows TensorFlow Chinese Community: http://www.tensorfly.cn/tfdoc/get_started/os_setup.html Two. install TensorFlow on WindowsDirectory: Determine the TensorFlow to install Requirements

Install TensorFlow (CPU or GPU version) under Linux system __linux

This article directory Introduction based on Anaconda tensorflow install 1 download Linux version of Anaconda installation package 2 Install Anaconda use Anaconda installation TensorFlow 1 establish a Conda computing environment 2 activation environment using Conda installation TensorFlow 3 Installation TensorFlow 4 Ho

ubuntu16.04+cuda8.0+cudnnv5.1 + tensorflow+ GT 840M Installation Summary

Recently reinstalled the system, installed the TensorFlow configuration environmentSum up.Resourceshttp://blog.csdn.net/ZWX2445205419/article/details/69429518http://blog.csdn.net/u013294888/article/details/56666023Http://www.2cto.com/kf/201612/578337.htmlhttp://blog.csdn.net/10km/article/details/61915535Nvidia driver installation MethodHttps://wiki.ubuntu.com.cn/NVIDIAQuery the NVIDIA Driver modelHttp://www.nvidia.com/Download/index.aspx?lang=en-usQue

Those TensorFlow and black technology _ technology

The TensorFlow and the black Tech. Google hosted the first TensorFlow developer summit in Mountain View, California, February 16, 2017 (Beijing time) 2 o'clock in the morning. Google site announced the world's leading deep learning open source Framework TensorFlow officially released the V1.0 version, and to ensure that Google's current release API interface to m

Install TensorFlow in virtualenv mode on Ubuntu

Install TensorFlow in virtualenv mode on Ubuntu This article describes how to install tensorflow in virtualenv mode on Ubuntu. Install pip and virtualenv: # Ubuntu/Linux 64-bit Sudo apt-get install python-pip python-dev python-virtualenv # Mac OS X Sudo easy_install pip Sudo pip install -- upgrade virtualenv Create a Virtualenv virtual environment: Go to the parent directory where you want to install

Install TensorFlow in Python2.7 in Ubuntu 16.04

Install TensorFlow in Python2.7 in Ubuntu 16.04 My system environment: Ubuntu 16.04 LTS Python 1, 2.7 Python 1, 3.5 Two TensorFlow versions: TensorFlow is installed in the following ways: Virtualenv Pip Docker Anaconda Source code compilation Pip is the Python software package management system: Pip Install Packages recursive abbreviation The Command

Tensorflow-bitcoin-robot: A Bitcoin price prediction robot based on the TensorFlow lstm model. __ Robot

Brief Introduction Tensorflow-bitcoin-robot: A Bitcoin price prediction robot based on the TensorFlow lstm model. The article includes a few parts:1. Why try to do this project.2. Why did you choose this model?3. Where does the data from the model come from.4. The optimization process of the model.5. The direction in which the project can be further improved. The recent performance of the digital currency,

Open source Software Library TensorFlow most complete tutorials and project listings _tensorflow

TensorFlow is an open source software library that uses data flow diagrams for numerical calculations. In other words, that's the best way to build a deep learning model. This article collates some excellent tutorials and a list of projects on TensorFlow. First, the tutorial TensorFlow Tutorial 1-from basics to more interesting

TENSORFLOW-GPU installation on WINDOWS10 (Anaconda)

Document Source reprint: http://blog.csdn.net/u010099080/article/details/53418159Http://blog.nitishmutha.com/tensorflow/2017/01/22/TensorFlow-with-gpu-for-windows.htmlPre-Installation PreparationThere are two versions of TensorFlow: CPU version and GPU version. The GPU version requires CUDA and CuDNN support, and the CPU version is not required. If you want to in

Play TensorFlow on Windows (a)--install Docker "turn"

"Google" + "deep learning", two tags let the December 2015 Google open-source deep learning tool TensorFlow after its release quickly became the world's hottest open source project, April 2016, open source TensorFlow support distributed features, The application to the production environment is further.The TensorFlow API supports Python 2.7 and Python 3.3+, with

CentOS Anaconda (python3.6) installation TensorFlow

It was an incredibly simple thing to install TensorFlow, but it was on my computer for one weeks. During the encounter all kinds of trouble, all kinds of pits, in this record, convenient for everyone. Errors include: Undefined symbol:zgelsd_ Importerror:cannot import name ' MultiArray ' WHL is not a supported wheel 1, install Anaconda: https://www.continuum.io/downloads/(i installed linux-64-python3.6)I started off directly in Py

TensorFlow Simple introduction and installation on CentOS

# #tensorflow简单介绍:TensorFlow? is a open source software library for numerical computation using data Flow graphs.https://www.tensorflow.org/TensorFlow is Google's second generation of AI learning systems based on Distbelief, and its nomenclature derives from its own operating principles. Tensor (tensor) means that n-dimensional arrays, flow (flow) means that base

Learning notes TF064: TensorFlow Kubernetes, tf064tensorflow

Learning notes TF064: TensorFlow Kubernetes, tf064tensorflow AlphaGo: each experiment has 1000 nodes and each node has 4 GPUs and 4000 GPUs. Siri: 2 nodes and 8 GPUs for each experiment. AI research relies on massive data computing, instead of performance computing resources. The larger cluster running model shortens the weekly training time to the day-level hour level. Kubernetes, the most widely used container cluster management tool, distributed

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