- Tensorflow
- Model Evaluation
- Deep Learning
- Transfer Learning
- Generative Adversarial Networks (GANs)
- Machine Learning Methods
- Convolutional Neural Networks
- Computer Vision
- Reinforcement Learning
- Unsupervised Learning
- Generative AI
- Keras (Neural Network Library)
Deep Learning with Keras and Tensorflow
Completed by Dominik Porębski
March 26, 2025
23 hours (approximately)
Dominik Porębski'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
