Python Neural Network Tutorials

Overview

Dive into a comprehensive tutorial series on Python neural networks using TensorFlow 2.0. Learn the fundamentals of neural networks, explore data loading and analysis techniques, and master the process of creating and utilizing models for predictions. Delve into text classification through a multi-part exploration, covering embedding layers, model training, and the essential skills of saving and loading models. Gain practical knowledge on installing TensorFlow GPU on Linux systems to enhance your deep learning capabilities.

Syllabus

Python Neural Networks - Tensorflow 2.0 Tutorial - What is a Neural Network?.
Python Neural Networks - Tensorflow 2.0 Tutorial - Loading & Looking at Data.
Python Neural Networks - Tensorflow 2.0 Tutorial - Creating a Model.
Python Neural Networks - Tensorflow 2.0 Tutorial - Using the Model to Make Predictions.
Python Neural Networks - Tensorflow 2.0 Tutorial - Text Classification P1.
Tensorflow 2.0 Tutorial - What is an Embedding Layer? Text Classification P2.
TensorFlow 2.0 Tutorial - Training the Model - Text Classification P3.
Tensorflow 2.0 Tutorial - Saving & Loading Models - Text Classification P4.
How to Install TensorFlow GPU on Linux.