- Machine Learning
- Convolutional Neural Networks
- Data Preprocessing
- Transfer Learning
- Image Analysis
- Keras (Neural Network Library)
- Classification Algorithms
- Applied Machine Learning
- Computer Vision
- Model Evaluation
- Deep Learning
- Tensorflow
Convolutional Neural Networks in TensorFlow
Completed by Prasad Vijayakumar Jayasree
August 11, 2019
16 hours (approximately)
Prasad Vijayakumar Jayasree'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
