Convolutional Neural Networks in TensorFlow
Completed by Navid Hakimi
August 29, 2019
16 hours (approximately)
Navid Hakimi'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: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Evaluation
- Category: Model Optimization
- Category: Model Training
- Category: Computer Vision
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Tensorflow
- Category: Convolutional Neural Networks
