- Tensorflow
- Transfer Learning
- Applied Machine Learning
- Keras (Neural Network Library)
- Classification Algorithms
- Convolutional Neural Networks
- Model Evaluation
- Image Analysis
- Computer Vision
- Deep Learning
- Data Preprocessing
- Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by MIGUEL MARTIN MARTINEZ
January 25, 2024
16 hours (approximately)
MIGUEL MARTIN MARTINEZ'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
