Deep Learning with Keras and Tensorflow
Completed by BO YU LIN
September 22, 2024
23 hours (approximately)
BO YU LIN'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: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Autoencoders
- Category: Convolutional Neural Networks
- Category: Time Series Analysis and Forecasting
- Category: Generative Model Architectures
- Category: Generative Adversarial Networks (GANs)
- Category: Tensorflow
- Category: Applied Machine Learning
