Convolutional Neural Networks in TensorFlow
Completed by Ajay Taneja
October 2, 2019
16 hours (approximately)
Ajay Taneja'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
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Tensorflow
- Category: Model Optimization
- Category: Machine Learning
- Category: Convolutional Neural Networks
- Category: Deep Learning
