Deep Learning with Keras and Tensorflow
Completed by Seng Wee Wong
August 11, 2025
23 hours (approximately)
Seng Wee Wong'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: Reinforcement Learning
- Category: Deep Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Autoencoders
- Category: Convolutional Neural Networks
- Category: Generative AI
- Category: Tensorflow
- Category: Generative Adversarial Networks (GANs)
- Category: Time Series Analysis and Forecasting
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
