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Introduction
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TensorFlow
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Compute Graphs
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Mandelbrot
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Tensorflow variables
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TensorFlow compute graphs
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Helpful functions
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TensorFlow example
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Read CSV file
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Create neural network
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Classification neural network
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Classification vs regression
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Training
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Prediction
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Evaluate
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Argmax
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Results
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hoc query
Description:
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 to TensorFlow and Keras with Anaconda Python

Jeff Heaton
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