- Artificial Neural Networks
- Predictive Modeling
- Applied Machine Learning
- Supervised Learning
- Image Analysis
- Machine Learning
- Data Processing
- Computer Vision
- Keras (Neural Network Library)
- Deep Learning
- Tensorflow
Convolutional Neural Networks in TensorFlow
Completed by Prathamesh Shankar Mahadeshwar
February 2, 2021
16 hours (approximately)
Prathamesh Shankar Mahadeshwar'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
