- Machine Learning
- Transfer Learning
- Model Evaluation
- Data Preprocessing
- Classification Algorithms
- Computer Vision
- Convolutional Neural Networks
- Applied Machine Learning
- Keras (Neural Network Library)
- Tensorflow
- Image Analysis
- Deep Learning
Convolutional Neural Networks in TensorFlow
Completed by SEBAN V. MATHEW
March 19, 2020
16 hours (approximately)
SEBAN V. MATHEW'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
