Deep Learning with Keras and Tensorflow
Completed by Julio Nunez Garcia
June 1, 2024
23 hours (approximately)
Julio Nunez Garcia'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: Transfer Learning
- Category: Reinforcement Learning
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Unsupervised Learning
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Autoencoders
- Category: Time Series Analysis and Forecasting
- Category: Applied Machine Learning
- Category: Generative Model Architectures
- Category: Generative AI
