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Building a Neural Network in TensorFlow

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Overview

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Dive into TensorFlow to learn and build basic neural networks. This course covers key elements like layers, neurons, activation functions, and model training. Progress through hands-on code examples, ending with building and assessing a neural network for binary classification.

Syllabus

  • Lesson 1: Initializing and Extending Neural Network Models in TensorFlow
  • Lesson 2: Creating Flexible TensorFlow Models with Model-Building Functions
  • Lesson 3: Compiling and Training Neural Networks with TensorFlow
  • Lesson 4: From Training to Prediction: TensorFlow Models for Decision Making
  • Lesson 5: Evaluating TensorFlow Models: From Data to Insight

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