- Artificial Neural Networks
- Transfer Learning
- Computer Vision
- Deep Learning
- Model Evaluation
- Unsupervised Learning
- Convolutional Neural Networks
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Keras (Neural Network Library)
- Tensorflow
- Performance Tuning
Deep Learning with Keras and Tensorflow
Completed by PIYAWASIN PIKROR-NGARN
May 16, 2024
23 hours (approximately)
PIYAWASIN PIKROR-NGARN's account is verified. Coursera certifies their successful completion of Deep Learning with Keras and Tensorflow
What you will learn
Create custom layers and models in Keras and integrate Keras with TensorFlow 2.x
Develop advanced convolutional neural networks (CNNs) using Keras
Develop Transformer models for sequential data and time series prediction
Explain key concepts of Unsupervised learning in Keras, Deep Q-networks (DQNs), and reinforcement learning
Skills you will gain
