- Keras (Neural Network Library)
- Tensorflow
- Image Analysis
- Model Evaluation
- Computer Vision
- Transfer Learning
- Classification Algorithms
- Deep Learning
- Data Preprocessing
- Convolutional Neural Networks
- Machine Learning
- Applied Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by Rohit Gadhwar
March 1, 2020
16 hours (approximately)
Rohit Gadhwar'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
