Convolutional Neural Networks in TensorFlow
Completed by Michael Lane
April 17, 2024
16 hours (approximately)
Michael Lane'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: Data Preprocessing
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Model Optimization
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Computer Vision
- Category: Transfer Learning
