- Deep Learning
- Classification Algorithms
- Applied Machine Learning
- Model Evaluation
- Keras (Neural Network Library)
- Convolutional Neural Networks
- Computer Vision
- Tensorflow
- Machine Learning
- Data Preprocessing
- Image Analysis
- Transfer Learning
Convolutional Neural Networks in TensorFlow
Completed by Alejandro Bedoya Solano
April 9, 2020
16 hours (approximately)
Alejandro Bedoya Solano'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
