TensorFlow Tutorial For Beginners | Deep Learning with Python
In this TensorFlow tutorial for beginners, we will perform deep learning with python. By the end of this deep learning tutorial you will have written your first neural network that can recognize hand written digits with the mnist dataset. We will start by importing the necessary libraries, then we will download the mnist dataset. After splitting the dataset to training and test datasets we will scale their pixel values to a range our neural network can work easier with. Then we will build, train, evaluate, save and retrieve our neural network model. I hope you got some value out of it. If you have any suggestions comment them down below.
If you learn better by reading, I have an article version of this tutorial, with all the code included:
/ write-your-first-ai-project-in-15-minutes
Google Colab:
https://colab.research.google.com/
Connect with me on:
Medium - / dogaozgon
Instagram - / dogaozgon
Tiktok - dogaozgon
Facebook - / doga.ozgon.10
На этой странице сайта вы можете посмотреть видео онлайн TensorFlow Tutorial For Beginners | Deep Learning with Python длительностью часов минут секунд в хорошем качестве, которое загрузил пользователь Doga Ozgon 29 Декабрь 2020, поделитесь ссылкой с друзьями и знакомыми, на youtube это видео уже посмотрели 23,124 раз и оно понравилось 473 зрителям. Приятного просмотра!
