- Unsupervised Learning
- Generative AI
- Deep Learning
- Keras (Neural Network Library)
- Artificial Neural Networks
- Tensorflow
- Generative Adversarial Networks (GANs)
- Autoencoders
- Transfer Learning
- Convolutional Neural Networks
- Machine Learning Methods
- Artificial Intelligence and Machine Learning (AI/ML)
Deep Learning with Keras and Tensorflow
Completed by Alexander Hedger
September 24, 2024
23 hours (approximately)
Alexander Hedger'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
