Convolutional Neural Networks in TensorFlow
Completed by YEN KAI HUANG
February 1, 2020
16 hours (approximately)
YEN KAI HUANG'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 Optimization
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Computer Vision
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Tensorflow
- Category: Applied Machine Learning
