Deep Learning with Keras and Tensorflow
Completed by Sara Abu Romoh
March 1, 2024
23 hours (approximately)
Sara Abu Romoh'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: Generative Model Architectures
- Category: Reinforcement Learning
- Category: Transfer Learning
- Category: Convolutional Neural Networks
- Category: Unsupervised Learning
- Category: Model Optimization
- Category: Deep Learning
- Category: Keras (Neural Network Library)
- Category: Autoencoders
- Category: Generative Adversarial Networks (GANs)
- Category: Time Series Analysis and Forecasting
- Category: Applied Machine Learning
