Convolutional Neural Networks in TensorFlow
Completed by GEORGIOS LOUIS PROMPONAS
September 15, 2019
16 hours (approximately)
GEORGIOS LOUIS PROMPONAS'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: Fine-tuning
- Category: Data Preprocessing
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Deep Learning
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Machine Learning
