- Deep Learning
- Classification Algorithms
- Image Analysis
- Data Preprocessing
- Machine Learning
- Keras (Neural Network Library)
- Model Evaluation
- Tensorflow
- Transfer Learning
- Computer Vision
- Convolutional Neural Networks
- Applied Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by AMAL ABDULRAZAQ BIN-ESSA
December 30, 2020
16 hours (approximately)
AMAL ABDULRAZAQ BIN-ESSA'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
