So, in order to show us HOW to import something, you use examples of things that you've ALREADY imported & installed? This silly video was a waste of time.
TensorFlow is a Machine learning package. However, in the context of this video, the user is using "Tensor Flow" as an environment name. Within the Environments tab, you can click create and choose any name for your new environment followed by the Python or R Version you would like. The purpose of having separate environments is to separate different versions of packages that are compatible with the specific the version of python or R you are using within the environment. In the context of this video, you can simply use the base environment. However, there are other ways to install packages outside anaconda navigator. For example, I like to use spyder as my IDE, I can simply input pip install pandas into the spyder terminal mid project and it will install the pandas library.
Beautiful pic at the begining!
Thanks Man It was from Harry potter Movie.
wonderfull oneeee... thanksss a bunchhhhh
Most welcome 😊
After applying keras and tensorflow, I have got this problem where it keeps on loading and saying that loading packages from tensorflow
not install is empty for me
how to fix
Go for All
And search your package and install it
Install any package of jupyter notebook, spider, R using anaconda navigator.
Sound bi daba Ku try kara
yeah, ta upare bi kama chalichi
next video re diahaba au.
@@insight_excursion ok
thanks man
So, in order to show us HOW to import something, you use examples of things that you've ALREADY imported & installed? This silly video was a waste of time.
Yeah, It's correct
But here i have shown you to installation steps.
Thanks sir...
welcome
I can't find tenserflow i have in m'y anaconda juste base what i do
TensorFlow is a Machine learning package. However, in the context of this video, the user is using "Tensor Flow" as an environment name. Within the Environments tab, you can click create and choose any name for your new environment followed by the Python or R Version you would like.
The purpose of having separate environments is to separate different versions of packages that are compatible with the specific the version of python or R you are using within the environment.
In the context of this video, you can simply use the base environment. However, there are other ways to install packages outside anaconda navigator. For example, I like to use spyder as my IDE, I can simply input pip install pandas into the spyder terminal mid project and it will install the pandas library.
root selection cant install package? i create new one can install package
yes it can
This works offline too?
Yes it runs offline