Convolutional Neural Networks in TensorFlow
Completed by Sabbir Ahmed
May 28, 2020
16 hours (approximately)
Sabbir Ahmed'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: Computer Vision
- Category: Convolutional Neural Networks
- Category: Classification Algorithms
- Category: Data Preprocessing
- Category: Image Analysis
- Category: Tensorflow
- Category: Deep Learning
- Category: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Transfer Learning
