Deep Learning with Keras and Tensorflow
Completed by Yakim Damyanov
January 27, 2026
23 hours (approximately)
Yakim Damyanov'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 Adversarial Networks (GANs)
- Category: Autoencoders
- Category: Time Series Analysis and Forecasting
- Category: Model Optimization
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Unsupervised Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Tensorflow
- Category: Applied Machine Learning
- Category: Generative AI
- Category: Generative Model Architectures
