Convolutional Neural Networks in TensorFlow
Completed by Daniel Muñoz González
November 7, 2019
16 hours (approximately)
Daniel Muñoz González'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 Training
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Tensorflow
- Category: Convolutional Neural Networks
- Category: Computer Vision
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Keras (Neural Network Library)
