Deep Learning with Keras and Tensorflow
Completed by Basel Jouda
January 3, 2026
23 hours (approximately)
Basel Jouda'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: Transfer Learning
- Category: Autoencoders
- Category: Generative Model Architectures
- Category: Unsupervised Learning
- Category: Time Series Analysis and Forecasting
- Category: Keras (Neural Network Library)
- Category: Tensorflow
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Generative AI
- Category: Reinforcement Learning
