Deep Learning with Keras and Tensorflow
Completed by Kai Forster
April 10, 2026
23 hours (approximately)
Kai Forster'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: Generative Model Architectures
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Deep Learning
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Unsupervised Learning
- Category: Autoencoders
- Category: Tensorflow
- Category: Model Optimization
- Category: Generative Adversarial Networks (GANs)
