Deep Learning with Keras and Tensorflow
Completed by Vladimir Lobanov
May 11, 2026
23 hours (approximately)
Vladimir Lobanov'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: Unsupervised Learning
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Time Series Analysis and Forecasting
- Category: Autoencoders
- Category: Applied Machine Learning
