Convolutional Neural Networks in TensorFlow
Completed by Mrityunjay Kumar
June 12, 2024
16 hours (approximately)
Mrityunjay Kumar'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: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Transfer Learning
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Artificial Neural Networks
