Convolutional Neural Networks in TensorFlow
Completed by Hamza Ghanmi
August 31, 2019
16 hours (approximately)
Hamza Ghanmi'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: Deep Learning
- Category: Machine Learning
- Category: Computer Vision
- Category: Keras (Neural Network Library)
- Category: Tensorflow
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Model Optimization
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
