Installing Tensorflow and Prerequisites on Windows
Lecture description
This video includes installation of Deep Learning Framework Tensorflow and its prerequisites. Python 3.5.3, Anaconda 4.4.0 and Tensorflow 1.2.0 respectively on Windows 7 64-bit OS.
Learn more from the full course
TensorFlow 101: Introduction to Deep Learning
Ready to build the future with Deep Neural Networks? Stand on the shoulder of TensorFlow and Keras for Machine Learning.
03:55:26 of on-demand video • Updated May 2020
You will be able to build deep learning models for different business domains in TensorFlow
You can distinguish classification and regression problems, apply supervised learning, and can develop solutions
You can also apply segmentation analysis through unsupervised learning and clustering
You can consume TensorFlow via Keras in easier way.
Informed about tuning machine learning models to produce more successful results
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English
Hi fellas, today ... we are going to get tensorflow framework up and TensorFlow is one of the most common machine learning library provided by Google The following prerequisites should be handled before begin Firstly python environment has to be installed properly. Secondly, anaconda platform should be installed on your environment. Because, we are going to install tensorflow with anaconda. Now, I am using Windows 7, 64-bit OS and there is no pre installation for either Python or Anaconda in my computer Let's start with installing python first. The latest version of python is 3.6 as seen in this table But tensorflow cannot work with this version. The installation documentation proposes to install python 3.5.X versions. That's why, we'll install the latest version of 3.5 which is 3.5.4 and I will download 64-bit executable installer Let's start the installation Now, python installation is over. Now, we can install anaconda platform it is 3.6 version for 64 bit OS Again we would apply standard installation for anaconda platform Anaconda installation is over, too. Now, we can install tensorflow framework. all we need is ... ... to run the ... ... following command. conda create -n tensorflow python and its version 3.5 conda command created tensorflow successfuly secondly, I need to activate tensorflow it is activated and thirdly, I need to run this command because my computer does not support GPU. I would like to use CPU only. so, tensorflow is instaled successfully now we can validate the installation I will a hello world file whichs extention is .py it means python scrtipts and I will run this file its command: python helloworld.py as seen our message is dumped, "Hello, TensorFlow" it shows tensorflow installation is OK and our environment is ready to use. so, we have gotten tensorflow environment up in this video thank you guys for watching see you next time