Deep Learning with Keras and Tensorflow
Completed by Dominik Porębski
March 26, 2025
23 hours (approximately)
Dominik Porębski'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 Evaluation
- Category: Tensorflow
- Category: Convolutional Neural Networks
- Category: Generative Adversarial Networks (GANs)
- Category: Computer Vision
- Category: Recurrent Neural Networks (RNNs)
- Category: Unsupervised Learning
- Category: Reinforcement Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Performance Tuning
- Category: Autoencoders
