Convolutional Neural Networks in TensorFlow
Completed by Gabriel Gonçalves Neves
September 9, 2019
16 hours (approximately)
Gabriel Gonçalves Neves'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 Optimization
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Machine Learning
- Category: Model Evaluation
- Category: Data Preprocessing
- Category: Computer Vision
- Category: Model Training
- Category: Convolutional Neural Networks
