- Tensorflow
- Convolutional Neural Networks
- Transfer Learning
- Classification Algorithms
- Computer Vision
- Deep Learning
- Applied Machine Learning
- Machine Learning
- Keras (Neural Network Library)
- Data Preprocessing
- Model Evaluation
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by Julian Ramirez
April 11, 2020
16 hours (approximately)
Julian Ramirez'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
