Convolutional Neural Networks in TensorFlow
Completed by Anik Das
July 1, 2020
16 hours (approximately)
Anik Das'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: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Evaluation
- Category: Model Optimization
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Model Training
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Tensorflow
