Convolutional Neural Networks in TensorFlow
Completed by Syed Sirazus Salehein
February 28, 2024
16 hours (approximately)
Syed Sirazus Salehein'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 Optimization
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Computer Vision
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Tensorflow
- Category: Model Training
