Python Tensor Flow Tutorial – Predicting Numbers By Consulting Joe December 7, 2020 Data Science 32 data analytics, data science, data scientist, data scientists, data visualization, deep learning python, jupyter notebook, machine learning, matplotlib, neural networks python, nlp python, numpy python, python data, python pandas, python seaborn, python sklearn, tensor flow python, tips tricks python 2 Comments [ad_1] Check out http://ConsultingJoe.com for more. Source [ad_2] Previous article Next article Comment List Consulting Joe December 7, 2020 Interesting video, well explained, thanks for posting it. The reason the last example didn't show 150 (6*25) is because in the 4th position you have 125, it should be 100, then 125 instead of 150. Reply Consulting Joe December 7, 2020 This is really interesting 🤔 Reply Write a comment Cancel reply Save my name, email, and website in this browser for the next time I comment.
Interesting video, well explained, thanks for posting it. The reason the last example didn't show 150 (6*25) is because in the 4th position you have 125, it should be 100, then 125 instead of 150.
This is really interesting 🤔