Introduction to TensorFlow and Keras with Anaconda Python

Dive into the world of deep learning tools with this comprehensive video tutorial. Learn how to construct neural networks using TensorFlow and Keras for simple classification and regression tasks. Explore key concepts such as compute graphs, TensorFlow variables, and helpful functions. Follow along as the instructor demonstrates how to read CSV files, create and train neural networks, and make predictions. Understand the differences between classification and regression tasks, and learn how to evaluate model performance. This tutorial is part of a larger course on deep learning applications, offering valuable insights for both beginners and intermediate learners in the field of artificial intelligence and machine learning.

Introduction
TensorFlow
Compute Graphs
Mandelbrot
Tensorflow variables
TensorFlow compute graphs
Helpful functions
TensorFlow example
Read CSV file
Create neural network
Classification neural network
Classification vs regression
Training
Prediction
Evaluate
Argmax
Results
hoc query