- Generative Adversarial Networks (GANs)
- Reinforcement Learning
- Artificial Neural Networks
- Recurrent Neural Networks (RNNs)
- Artificial Intelligence and Machine Learning (AI/ML)
- Performance Tuning
- Generative AI
- Convolutional Neural Networks
- Tensorflow
- Model Evaluation
- Keras (Neural Network Library)
- Computer Vision
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
