Convolutional Neural Networks in TensorFlow
Completed by George Belsky
March 12, 2020
16 hours (approximately)
George Belsky'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: Classification Algorithms
- Category: Computer Vision
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Deep Learning
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Tensorflow
