Convolutional Neural Networks in TensorFlow
Completed by Manuel Alejandro Gámez Jiménez
August 20, 2019
16 hours (approximately)
Manuel Alejandro Gámez Jiménez'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: Fine-tuning
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Computer Vision
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Model Training
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Convolutional Neural Networks
