Convolutional Neural Networks in TensorFlow
Completed by Richard DesCombaz
April 18, 2021
16 hours (approximately)
Richard DesCombaz'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: Convolutional Neural Networks
- Category: Image Analysis
- Category: Tensorflow
- Category: Model Training
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Computer Vision
- Category: Fine-tuning
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Machine Learning
- Category: Keras (Neural Network Library)
