- Tensorflow
- Transfer Learning
- Deep Learning
- Linear Algebra
- Supervised Learning
- Data Processing
- Computer Vision
- Image Analysis
- PyTorch (Machine Learning Library)
- Machine Learning
- Classification Algorithms
- Convolutional Neural Networks
NVIDIA: Fundamentals of Deep Learning
Completed by S.V.S Sreenivas
April 5, 2025
3 hours (approximately)
S.V.S Sreenivas's account is verified. Coursera certifies their successful completion of NVIDIA: Fundamentals of Deep Learning
What you will learn
Understand deep learning fundamentals, including neuron data processing and model training.
Implement multi-class classification and CNNs for image recognition tasks.
Apply transfer learning with pre-trained models to improve deep learning performance.
Skills you will gain
