Convolutional Neural Networks in TensorFlow
Completed by Antonio Gonzalez Pizarro
February 23, 2022
16 hours (approximately)
Antonio Gonzalez Pizarro'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: Computer Vision
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Fine-tuning
- Category: Model Evaluation
- Category: Model Optimization
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
