Deep Learning with Keras and Tensorflow
Completed by Daniel Urango
May 15, 2026
23 hours (approximately)
Daniel Urango'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 AI
- Category: Time Series Analysis and Forecasting
- Category: Unsupervised Learning
- Category: Generative Model Architectures
- Category: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
- Category: Generative Adversarial Networks (GANs)
- Category: Model Optimization
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Transfer Learning
- Category: Model Training
- Category: Autoencoders
