- Machine Learning
- Convolutional Neural Networks
- Tensorflow
- Transfer Learning
- Computer Vision
- Deep Learning
- Data Preprocessing
- Classification Algorithms
- Model Evaluation
- Keras (Neural Network Library)
- Applied Machine Learning
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by Vignesh Kotteeswaran
December 24, 2021
16 hours (approximately)
Vignesh Kotteeswaran'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
