Deep Learning with Keras and Tensorflow
Completed by Cevat Enes Karaahmetoğlu
September 8, 2026
23 hours (approximately)
Cevat Enes Karaahmetoğlu'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: Model Training
- Category: Keras (Neural Network Library)
- Category: Autoencoders
- Category: Unsupervised Learning
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Deep Learning
- Category: Time Series Analysis and Forecasting
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Generative AI
