The easiest way to install TensorFlow in anaconda python

foreign hello thank you so much for tuning in to my YouTube channel in today's video I want to show you guys the easiest way to install tensorflow in Anaconda python we know how complicated this process could be but I intend to show you guys the easiest way to do so let's get started and see how we could do that as I said in this video I want to talk about the easiest way to install tensorflow in Anaconda python tensorflow is a free and open source software library for machine learning and artificial intelligence it can be used across a range of tasks but has a particular focus on training and inference of deep neuron networks before being able to use tensorflow we have to first install that in our systems we know that installing the tensorflow seems unnecessarily complicated from having to open and code in the Anaconda prompt or comment prompt to having to write a lot of coding but what is a better way to do that is there any easier way to do that in this video I am going to show you guys a much easier way to install tensorflow in Python Anaconda let's see how we can do that okay we first go to Google we write python Anaconda download we go to the website this is for the windows and we downloaded it's being downloaded here okay it's ready next I agree it's the next install as you can see it's being installed okay next stage and it's over now let's open Anaconda okay the Anaconda is installed and this is the Navigator now let me show you how we could install tensorflow very easily so first we go through this environments right here and we create a new environment we call it tensorflow now let's choose the version of the Python it's important which version you want to choose the version 3.9 is the version to go because the way that I want to show you guys you can't go 3.11 or 3.10 3.9 is now the latest that you could install tensorflow on using my method so the version 3.9 is chosen now we create it's being created okay so the new environment has been created let's go to the new environment tensorflow okay this is the new environment let's first install a spider because I like to work with spider the spider is being installed the spider is the best to use okay the spider is installed as you can see now we go back to the environments go back to the tensorflow here I say not installed and look for tensorflow tensor flow right on this one and choose Keras and tensorflow now I have these two and I hit the app live button right here it's gonna it's gonna go on for a little while and then these two packages are going to be installed it's important to choose careers and tensorflow at the same time you can't install tensorflow on its own you have to also install crash at the same time okay here are the packages that it wants to install you just hit apply as you can see it's being installed as you can see the installation is about to be done awesome installation is completed let's go check tensorflow you have to just refresh at one time this is the base environment it's called tensorflow environment let's launch the Spyder this is where I want to check if tensorflow is installed correctly this is the spider let's just write import tensorflow as TF and as you can see it hasn't shown any error which means tensorflow has been installed correctly if there was an error that means the tensorflow has not been correctly installed and you have to just go back and install it and just go through the same stages as I showed you make sure you would go through the same stages as I showed you here first open a new environment make sure the python version is 3.9 and then install spider in case you want to work in spider I love working in spider as a Matlab user a spider makes sense to me because this resembles Matlab a lot and then when you're done installing spider just go to environments go through TN and then choose the not installed here and just look up tensorflow and install Keras and tensorflow both of them and then after you're done come here and come onto the console and write import tensorflow stf if there was no error here done if there's an error you can repeat everything that I told you and make sure that you would do everything correctly and it's about it thank you so much for watching this video I hope you liked it and you were able to get something out of it if you liked it I would appreciate it if you could subscribe to my channel and also share the video with your friends thank you so much and have a nice day

Channel: Morteza

Views: 3,547

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Id: QJjHc2iSeBc

Length: 6min 6sec (366 seconds)

Published: Thu Sep 21 2023