Deep Learning with Keras and Tensorflow
Completed by Ricardo González Velasquez
February 19, 2024
23 hours (approximately)
Ricardo González Velasquez'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: Reinforcement Learning
- Category: Transfer Learning
- Category: Convolutional Neural Networks
- Category: Unsupervised Learning
- Category: Autoencoders
- Category: Deep Learning
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Generative AI
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Generative Model Architectures
- Category: Model Optimization
