Deep Learning with Keras and Tensorflow
Completed by R MUDIYANSELAGE BHAGYA RATHNAYAKE
May 31, 2026
23 hours (approximately)
R MUDIYANSELAGE BHAGYA RATHNAYAKE'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
- Category: Convolutional Neural Networks
- Category: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Transfer Learning
- Category: Generative AI
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Tensorflow
- Category: Reinforcement Learning
- Category: Applied Machine Learning
