Skill

Visualize to Avoid CNN Overfitting with TensorFlow

July 2024 with Jonathan Barrios

  • 7 videos
  • 51 mins
Join Jonathan Barrios as we learn to spot overfitting in our CCN models and prevent it using TensorFlow. We're going to be practicing with model performance visualization, then practice techniques that can make sure our models stay robust and reliable.

Recommended Experience
  • Basic understanding of Python programming
  • Familiarity with CNNs
  • Experience with data visualization
Related certifications
  • None at this time
Related Job Functions
  • Machine learning engineer
  • Data scientist
  • Deep learning engineer
Jeff Kish has over 15 years of IT experience, focusing mainly on core infrastructure and data center technologies. He holds a number of Cisco certifications, including CCIEs in Routing and Switching and Data Center. He also focuses on network programmability and software-defined networking.
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Jonathan Barrios
Jonathan Barrios
Trainer

Skill Outline

  1. 1. Explore Overfitting (8:08)
  2. 2. Load Dataset (7:29)
  3. 3. Challenge 1: Build and Train a Baseline Model from Pseudocode (14:04)
  4. 4. Challenge (11:08)

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