- Machine Learning
- Classification Algorithms
- Data Preprocessing
- Applied Machine Learning
- Tensorflow
- Transfer Learning
- Keras (Neural Network Library)
- Convolutional Neural Networks
- Model Evaluation
- Computer Vision
- Deep Learning
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by Nitin Vinayak Agrawal
April 27, 2020
16 hours (approximately)
Nitin Vinayak Agrawal'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
