Deep Learning with Keras and Tensorflow
Completed by Rania Linda FILALI
March 18, 2024
23 hours (approximately)
Rania Linda FILALI'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: Convolutional Neural Networks
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Autoencoders
- Category: Tensorflow
- Category: Generative Adversarial Networks (GANs)
- Category: Generative Model Architectures
- Category: Time Series Analysis and Forecasting
