- Autoencoders
- Recurrent Neural Networks (RNNs)
- Model Evaluation
- Transfer Learning
- Generative Adversarial Networks (GANs)
- Performance Tuning
- Artificial Intelligence and Machine Learning (AI/ML)
- Reinforcement Learning
- Tensorflow
- Artificial Neural Networks
- Unsupervised Learning
- Convolutional Neural Networks
Deep Learning with Keras and Tensorflow
Completed by Harrison Floam
October 2, 2023
23 hours (approximately)
Harrison Floam'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
