- Convolutional Neural Networks
- Computer Vision
- Data Preprocessing
- Keras (Neural Network Library)
- Transfer Learning
- Applied Machine Learning
- Model Evaluation
- Machine Learning
- Image Analysis
- Tensorflow
- Deep Learning
- Classification Algorithms
Convolutional Neural Networks in TensorFlow
Completed by Vincent THEOPHANE MELIGA NAGA
February 16, 2022
16 hours (approximately)
Vincent THEOPHANE MELIGA NAGA'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
