Convolutional Neural Networks in TensorFlow
Completed by Gabriele Penazzi
July 1, 2019
16 hours (approximately)
Gabriele Penazzi'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: Model Evaluation
- Category: Machine Learning
- Category: Classification Algorithms
- Category: Tensorflow
- Category: Deep Learning
- Category: Transfer Learning
- Category: Image Analysis
- Category: Applied Machine Learning
- Category: Computer Vision
- Category: Keras (Neural Network Library)
- Category: Data Preprocessing
