Deep Learning with Keras and Tensorflow
Completed by TRINITY ROSEBUD STENHOUSE
June 16, 2026
23 hours (approximately)
TRINITY ROSEBUD STENHOUSE'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: Convolutional Neural Networks
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Generative Model Architectures
- Category: Deep Learning
- Category: Model Training
- Category: Reinforcement Learning
- Category: Transfer Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Autoencoders
- Category: Applied Machine Learning
- Category: Generative AI
