- Tensorflow
- Keras (Neural Network Library)
- Data Processing
- Image Analysis
- Machine Learning
- Applied Machine Learning
- Predictive Modeling
- Computer Vision
- Supervised Learning
- Artificial Neural Networks
- Deep Learning
Convolutional Neural Networks in TensorFlow
Completed by Isaac Guillermo Gonzales Vizcarra
July 18, 2020
16 hours (approximately)
Isaac Guillermo Gonzales Vizcarra'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
