TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough скачать в хорошем качестве

TensorFlow Tutorial 04 - Linear Regression - Full Project Walkthrough

New Tutorial series about TensorFlow 2! Learn all the basics you need to get started with this deep learning framework! Part 04 - Linear Regression In this part we implement a full project with a Regression problem. We learn how to download, analyze, and preprocess data with pandas. We then build a simple Linear Model using the keras.Dense layer and predict new values. Then extend this model to a deep neural network and learn about the importance of activation functions. ~~~~~~~~~~~~~~ GREAT PLUGINS FOR YOUR CODE EDITOR ~~~~~~~~~~~~~~ ✅ Write cleaner code with Sourcery: https://sourcery.ai/?utm_source=youtu... * Get my Free NumPy Handbook: https://www.python-engineer.com/numpy... 🚀🚀 Get exclusive content on Patreon: 🚀🚀   / patrickloeber   If you enjoyed this video, please subscribe to the channel! Course material is available on GitHub: https://github.com/patrickloeber/tens... Activation Functions:    • PyTorch Tutorial 12 - Activation Functions   Links: https://www.tensorflow.org Code is based on: https://www.tensorflow.org/tutorials/... 🚀🚀 JOIN MY NEWSLETTER 🚀🚀 https://www.python-engineer.com/newsl... You can find me here: Website: https://www.python-engineer.com Twitter:   / patloeber   GitHub: https://github.com/patrickloeber Music: https://www.bensound.com/ #Python Course Parts: 01 TensorFlow Installation 02 TensorFlow Tensor Basics 03 TensorFlow Neural Net 04 TensorFlow Linear Regression 05 TensorFlow CNN (Convolutional Neural Nets) 06 TensorFlow Save & Load Models 07 TensorFlow Functional API 08 TensorFlow Multi-output Project 09 TensorFlow Transfer Learning 10 TensorFlow RNN / LSTM / GRU 11 TensorFlow NLP TensorFlow 2, Keras, Deep Learning, TensorFlow Course, TensorFlow Beginner Course, TensorFlow Tutorial ---------------------------------------------------------------------------------------------------------- This is a sponsored link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏