Convolutional Neural Networks in TensorFlow
Completed by Iván Cáceres
October 28, 2019
16 hours (approximately)
Iván Cáceres'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: Convolutional Neural Networks
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Machine Learning
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Computer Vision
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Model Optimization
- Category: Keras (Neural Network Library)
