- Artificial Intelligence and Machine Learning (AI/ML)
- Deep Learning
- Generative AI
- Tensorflow
- Performance Tuning
- Model Evaluation
- Machine Learning Methods
- Recurrent Neural Networks (RNNs)
- Convolutional Neural Networks
- Artificial Neural Networks
- Unsupervised Learning
- Transfer Learning
Deep Learning with Keras and Tensorflow
Completed by Iheb Aloui
February 14, 2024
23 hours (approximately)
Iheb Aloui'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
