- Machine Learning
- Transfer Learning
- Computer Vision
- Classification Algorithms
- Keras (Neural Network Library)
- Tensorflow
- Image Analysis
- Data Preprocessing
- Applied Machine Learning
- Model Evaluation
- Deep Learning
- Convolutional Neural Networks
Convolutional Neural Networks in TensorFlow
Completed by Francisco Javier Llaneza
September 10, 2020
16 hours (approximately)
Francisco Javier Llaneza'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
