- Computer Vision
- Applied Machine Learning
- Machine Learning
- Transfer Learning
- Classification Algorithms
- Deep Learning
- Data Preprocessing
- Model Evaluation
- Keras (Neural Network Library)
- Convolutional Neural Networks
- Tensorflow
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by B Sai Gunavanth
June 25, 2020
16 hours (approximately)
B Sai Gunavanth'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
