Chapter4 How to work with Placeholders | TensorFlow TUTORIALS | WITH CODE
A placeholder is simply a variable that we will assign data to at a later date. It allows us to create our operations and build our computation graph, without needing the data. In TensorFlow terminology, we then feed data into the graph through these placeholders.
****************************************************************
“If you think you are too small to be effective, you have never been in bed with a mosquito.” ...
################################################################
My Linkedin: / raghavendran-k-b456a7183
My Facebook: / theterahertz.radiation
My Email: raghavendranktech@gmail.com
Copyright Information:
I made this video with the intention to help others in a motivational/inspirational form. The clips and music I have used I do not own in most cases. My understanding is that it is in correlation to Fair Right Use, however given that it is open to interpretation, if any owners of the content clips would like me to remove the video I have no problem and will do as fast as possible. please email - raghavendranktech@gmail.com - if you have any concerns at.
I also do not wish to use the heart of any piece of the work that would perhaps decrease the market value of the original content, if anything I hope to promote the content so that people can reach out and subsequently increase the market value.
Please support the speakers/authors
On this page of the site you can watch the video online Chapter4 How to work with Placeholders | TensorFlow TUTORIALS | WITH CODE with a duration of hours minute second in good quality, which was uploaded by the user Garden of AI 06 July 2019, share the link with friends and acquaintances, this video has already been watched 69 times on youtube and it was liked by 1 viewers. Enjoy your viewing!
