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LinkedIn Learning

Deep Learning with TensorFlow: Insights and Innovations

via LinkedIn Learning

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Overview

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Explore the evolving world of deep learning with TensorFlow, including the basics of generative AI, with practical, hands-on examples.

Syllabus

Introduction
  • Welcome to deep learning with TensorFlow
1. Diving into Codespaces
  • Codespaces: Your ready-to-use workspace
  • Setting up TensorFlow with Codespaces
2. Understanding TensorFlow
  • TensorFlow essentials
  • TensorFlow simplified for NumPy users
  • Machine learning workflow
  • Challenge: Normalizing tensors
  • Solution: Step-by-step statistical analysis
3. Building Your First Model
  • Let's create a TensorFlow model
  • Preprocessing and feeding data into your model
  • Monitor training and validation
  • Success metrics
  • Save and reuse trained models
  • Autoencoders: A gentle introduction to generative models
  • Challenge: My first TensorFlow model
  • Solution: Building blocks to TensorFlow mastery
4. Mastering TensorBoard
  • Visualizing success with TensorBoard
  • Deep dives into training metrics
Conclusion
  • Next steps

Taught by

Harshit Tyagi

Reviews

4.7 rating at LinkedIn Learning based on 43 ratings

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