Deep Learning with Keras and Tensorflow
Completed by Wejden Smari
July 11, 2024
hours (approximately)
Wejden Smari'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: Autoencoders
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Generative AI
- Category: Time Series Analysis and Forecasting
- Category: Tensorflow
- Category: Generative Adversarial Networks (GANs)
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Transfer Learning
- Category: Model Optimization
- Category: Deep Learning
