Convolutional Neural Networks in TensorFlow
Completed by SLOBODAN TODIC
June 28, 2019
16 hours (approximately)
SLOBODAN TODIC'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: Convolutional Neural Networks
- Category: Model Optimization
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Tensorflow
- Category: Deep Learning
