Convolutional Neural Networks in TensorFlow
Completed by ARVIND UPADHYAY
July 30, 2019
16 hours (approximately)
ARVIND UPADHYAY'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: Machine Learning
- Category: Model Optimization
- Category: Keras (Neural Network Library)
- Category: Computer Vision
- Category: Deep Learning
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
- Category: Model Training
- Category: Data Preprocessing
- Category: Tensorflow
- Category: Image Analysis
