Convolutional Neural Networks in TensorFlow
Completed by Robert Schelenz
November 1, 2020
16 hours (approximately)
Robert Schelenz 's account is verified. Coursera certifies their successful completion of Convolutional Neural Networks in TensorFlow
What you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Optimization
- Category: Fine-tuning
- Category: Model Evaluation
- Category: Computer Vision
