- Model Evaluation
- Artificial Neural Networks
- Performance Tuning
- Deep Learning
- Transfer Learning
- Unsupervised Learning
- Keras (Neural Network Library)
- Generative Adversarial Networks (GANs)
- Convolutional Neural Networks
- Autoencoders
- Reinforcement Learning
- Tensorflow
Deep Learning with Keras and Tensorflow
Completed by Seema Nair
October 23, 2025
23 hours (approximately)
Seema Nair'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
