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Introduction to Neural Networks with TensorFlow

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Overview

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Start your exploration of neural networks with a beginner's course on TensorFlow, using the scikit-learn Digits Dataset. Learn neural network basics and deep learning by developing, training, and evaluating models with TensorFlow. Understand different neural network architectures and improve them, emphasizing the importance of data preparation in deep learning.

Syllabus

  • Lesson 1: Introduction to Neural Networks: TensorFlow and the Digits Dataset
  • Lesson 2: Mastering Data Preprocessing for Neural Networks
  • Lesson 3: Building Neural Networks with TensorFlow: A Beginner's Guide
  • Lesson 4: Math Behind Neural Networks
  • Lesson 5: Understanding and Applying Loss Functions and Optimizers in TensorFlow
  • Lesson 6: Training and Evaluating Neural Networks

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