Deep Learning with Keras and Tensorflow
Completed by ANGELA PAOLA LOZANO OCHOA
November 30, 2024
23 hours (approximately)
ANGELA PAOLA LOZANO OCHOA'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: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
- Category: Generative AI
- Category: Model Optimization
- Category: Generative Model Architectures
- Category: Applied Machine Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Autoencoders
- Category: Tensorflow
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
