Convolutional Neural Networks in TensorFlow
Completed by ALEXANDROS IOANNOU
April 18, 2020
16 hours (approximately)
ALEXANDROS IOANNOU'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: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Model Optimization
- Category: Deep Learning
- Category: Classification Algorithms
