Deep Learning with Keras and Tensorflow
Completed by IGOR LIMA STROZZI
November 30, 2022
23 hours (approximately)
IGOR LIMA STROZZI'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 Optimization
- Category: Deep Learning
- Category: Convolutional Neural Networks
- Category: Unsupervised Learning
- Category: Keras (Neural Network Library)
- Category: Generative Model Architectures
- Category: Reinforcement Learning
- Category: Transfer Learning
- Category: Autoencoders
- Category: Generative Adversarial Networks (GANs)
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
