- Computer Vision
- Data Preprocessing
- Transfer Learning
- Tensorflow
- Model Evaluation
- Image Analysis
- Deep Learning
- Keras (Neural Network Library)
- Applied Machine Learning
- Classification Algorithms
- Convolutional Neural Networks
- Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by Samuel O. Ihuoma
April 4, 2021
16 hours (approximately)
Samuel O. Ihuoma'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
