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
=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
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
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.
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
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
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
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
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
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
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
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,
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
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
"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
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
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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