Convolutional Neural Networks in TensorFlow
Completed by James Diffenderfer
August 22, 2019
16 hours (approximately)
James Diffenderfer'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: Data Preprocessing
- Category: Machine Learning
- Category: Fine-tuning
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Image Analysis
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
