Convolutional Neural Networks in TensorFlow
Completed by Thomas James Rhodes
November 28, 2022
16 hours (approximately)
Thomas James Rhodes'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 Training
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Tensorflow
- Category: Machine Learning
- Category: Computer Vision
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Evaluation
