Deep Learning with Keras and Tensorflow
Completed by Thomas Tracey
May 5, 2024
23 hours (approximately)
Thomas Tracey'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: Convolutional Neural Networks
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Tensorflow
- Category: Keras (Neural Network Library)
- Category: Autoencoders
- Category: Deep Learning
- Category: Reinforcement Learning
- Category: Time Series Analysis and Forecasting
- Category: Generative Adversarial Networks (GANs)
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
