- Convolutional Neural Networks
- Transfer Learning
- Model Evaluation
- Machine Learning
- Data Preprocessing
- Deep Learning
- Classification Algorithms
- Keras (Neural Network Library)
- Image Analysis
- Computer Vision
- Tensorflow
- Applied Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by Kshama Kodthalu Shivashankara
April 29, 2020
16 hours (approximately)
Kshama Kodthalu Shivashankara'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
