Convolutional Neural Networks in TensorFlow
Completed by Nicholas John Kay
November 8, 2019
16 hours (approximately)
Nicholas John Kay'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: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Transfer Learning
- Category: Model Training
- Category: Computer Vision
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Convolutional Neural Networks
- Category: Artificial Neural Networks
