- Convolutional Neural Networks
- Model Evaluation
- Keras (Neural Network Library)
- Computer Vision
- Classification Algorithms
- Tensorflow
- Deep Learning
- Image Analysis
- Transfer Learning
- Machine Learning
- Applied Machine Learning
- Data Preprocessing
Convolutional Neural Networks in TensorFlow
Completed by Suvam Bit
October 5, 2021
16 hours (approximately)
Suvam Bit'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
