- Keras (Neural Network Library)
- Transfer Learning
- Machine Learning
- Model Evaluation
- Computer Vision
- Classification Algorithms
- Tensorflow
- Data Preprocessing
- Image Analysis
- Convolutional Neural Networks
- Deep Learning
- Applied Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by Fergus Alexander McKenzie-Wilson
April 4, 2022
16 hours (approximately)
Fergus Alexander McKenzie-Wilson'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
