Deep Learning with Keras and Tensorflow
Completed by BLAZEJ MAREK SMYKA
June 17, 2026
23 hours (approximately)
BLAZEJ MAREK SMYKA'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: Generative Model Architectures
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Unsupervised Learning
- Category: Autoencoders
- Category: Generative Adversarial Networks (GANs)
- Category: Generative AI
- Category: Tensorflow
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Convolutional Neural Networks
- Category: Model Optimization
