- Artificial Neural Networks
- Deep Learning
- Tensorflow
- Natural Language Processing
- Generative AI
- Performance Tuning
- Keras (Neural Network Library)
- Machine Learning Methods
- Image Analysis
- Artificial Intelligence
- Unsupervised Learning
- Reinforcement Learning
Deep Learning with Keras and Tensorflow
Completed by Fares Eldibani
December 15, 2020
23 hours (approximately)
Fares Eldibani'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
