Deep Learning with Keras and Tensorflow
Completed by Ching Chuen Chan
January 20, 2026
23 hours (approximately)
Ching Chuen Chan'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: Transfer Learning
- Category: Reinforcement Learning
- Category: Convolutional Neural Networks
- Category: Unsupervised Learning
- Category: Model Optimization
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Generative AI
- Category: Time Series Analysis and Forecasting
- Category: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Generative Adversarial Networks (GANs)
