- Convolutional Neural Networks
- Image Analysis
- Applied Machine Learning
- Machine Learning
- Classification Algorithms
- Model Evaluation
- Computer Vision
- Deep Learning
- Transfer Learning
- Keras (Neural Network Library)
- Tensorflow
- Data Preprocessing
Convolutional Neural Networks in TensorFlow
Completed by Avishek Das
August 1, 2019
16 hours (approximately)
Avishek Das'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
