Deep Learning with Keras and Tensorflow
Completed by Nicolas Cernadas
January 13, 2026
23 hours (approximately)
Nicolas Cernadas'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: Unsupervised Learning
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Deep Learning
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Generative Model Architectures
- Category: Reinforcement Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Autoencoders
- Category: Applied Machine Learning
- Category: Generative AI
