Compile TensorFlow - Hello World

Previous tutorial was shared with you on how to setup tensorflow into your machine or PC. Now let us start test a simple tensorflow code to compile on our setup environment.
1. Open Comand Prompt on your PC.
2. Key in to conda info --envs verify tensorflow was installed on your PC.

3. Activated tensorflow , then let try to import tensorflow lib by key in import tensorflow as tf.
4. Now go to Anaconda> Sypder editor , then key in the hello world code as below:

5. Then click to run the program, done!

** Note: You also can direct compile from Command prompt:
python
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, Tensorflow')
>>> sess = tf.Session()
>>> print(sess.run(hello))

Comments

Fixed issues:AttributeError: module 'tensorflow' has no attribute 'Session'

The previous blog, Train Custom Image Classification Model using Google Inception API was shared with you on how to train and prepare your data set. Some reader feedback that they are facing some issues with data set compilation. The issues mentioned were: AttributeError: module 'TensorFlow' has no attribute 'Session'. To fix these issues, you only need to reinstall tensorflow-gpu 1.15.0: pip3 install -- upgrade -- force - reinstall tensorflow - gpu == 1.15 . 0 more info: stack overflow hwerwerTrain Custom Image Classification Model using Google Inception API Train Custom Image Classification Model using Google Inception API

SmartSOS AI System

Abstract SmartSOS is an emergency AI handling system that works on Arduino Nano and Android mobile phones. In an emergency, the user(s) can trigger an emergency message by simply waving their hand. The emergency message (SMS) that send to related contacts consists of the user's contact number and location coordinates. Purpose Robbers and thieves can strike unexpectedly, and they can catch you off guard even if you already have an emergency plan in place. During a Robbery, you may have no time to pick up your phone to call for an emergency. Even there has some emergency app that integrates all the functionalities within one app with one action, but pickup phone and opening these apps will consume time hence will alert that the robbery's attention. SmartSOS AI System With SmartSOS AI System, what to do during a Robbery? First, remain calm and simply raise up both hands. Then wave your hand left and right continues for more than 3sec, generally Wave Hand may likely draw the Robbe...

Building TensorFlow on Android Studio

Building Tensorflow on Android Station is simple. 1. Download Tensor Sample Code here: https://github.com/tensorflow/tensorflow 2. Open Android Studio, then import ..\tensorflow\examples\android. 3. Open Build Grade, then change:' bazel ' to 'none' 4. Done. You can install built APk on your android phone and play with it! Next: Setup Ubuntu enviroment on Windows 10 Building TensorFlow on Android Studio with fine-tuning Inception net

Heng2AI

Search This Blog