Convolutional Neural Networks in TensorFlow
Completed by Muhammad Saad
February 20, 2020
16 hours (approximately)
Muhammad Saad'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: Image Analysis
- Category: Transfer Learning
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Model Optimization
- Category: Model Training
- Category: Convolutional Neural Networks
