- 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 Erika Winfellina Sibarani
November 1, 2024
16 hours (approximately)
Erika Winfellina Sibarani'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
