- Tensorflow
- Transfer Learning
- Convolutional Neural Networks
- Model Evaluation
- Classification Algorithms
- Computer Vision
- Data Preprocessing
- Deep Learning
- Machine Learning
- Keras (Neural Network Library)
- Image Analysis
- Applied Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by Anmol Saluja
May 15, 2020
16 hours (approximately)
Anmol Saluja'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
