Deep Learning with Keras and Tensorflow
Completed by Dylan-Thomas Pugh
May 14, 2026
23 hours (approximately)
Dylan-Thomas Pugh'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: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Autoencoders
- Category: Generative Adversarial Networks (GANs)
- Category: Transfer Learning
- Category: Time Series Analysis and Forecasting
- Category: Convolutional Neural Networks
- Category: Tensorflow
- Category: Keras (Neural Network Library)
- Category: Generative AI
- Category: Applied Machine Learning
- Category: Generative Model Architectures
- Category: Reinforcement Learning
