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Deep Learning with TensorFlow: Insights and Innovations

via LinkedIn Learning

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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

Adam Geitgey

Reviews

4.8 rating at LinkedIn Learning based on 37 ratings

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