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: Generative Model Architectures
- Category: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Time Series Analysis and Forecasting
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Convolutional Neural Networks
- Category: Transfer Learning
- Category: Model Optimization
- Category: Generative AI
- Category: Generative Adversarial Networks (GANs)
- Category: Tensorflow
- Category: Unsupervised Learning
