Convolutional Neural Networks in TensorFlow
Completed by Nikita Grishin
December 1, 2020
16 hours (approximately)
Nikita Grishin'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 Evaluation
- Category: Keras (Neural Network Library)
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Classification Algorithms
- Category: Convolutional Neural Networks
- Category: Computer Vision
- Category: Image Analysis
- Category: Transfer Learning
- Category: Deep Learning
- Category: Tensorflow
