Deep Learning with Keras and Tensorflow
Completed by Ahmed Sanad
February 9, 2026
23 hours (approximately)
Ahmed Sanad'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: Model Optimization
- Category: Convolutional Neural Networks
- Category: Unsupervised Learning
- Category: Time Series Analysis and Forecasting
- Category: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Tensorflow
- Category: Generative Adversarial Networks (GANs)
- Category: Applied Machine Learning
- Category: Generative AI
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Transfer Learning
