Deep Learning with Keras and Tensorflow
Completed by Fares Mahasneh
March 2, 2024
23 hours (approximately)
Fares Mahasneh'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: Applied Machine Learning
- Category: Generative AI
- Category: Keras (Neural Network Library)
- Category: Autoencoders
- Category: Deep Learning
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Generative Model Architectures
- Category: Tensorflow
- Category: Convolutional Neural Networks
- Category: Model Optimization
