Deep Learning with Keras and Tensorflow
Completed by Mohamed Essadek Fehis
July 9, 2026
23 hours (approximately)
Mohamed Essadek Fehis'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: Tensorflow
- Category: Generative Adversarial Networks (GANs)
- Category: Time Series Analysis and Forecasting
- Category: Autoencoders
- Category: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Deep Learning
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Generative Model Architectures
