Deep Learning with Keras and Tensorflow
Completed by Yumeng Zhang
December 15, 2024
23 hours (approximately)
Yumeng Zhang'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: Keras (Neural Network Library)
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Optimization
- Category: Deep Learning
- Category: Reinforcement Learning
- Category: Transfer Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Convolutional Neural Networks
- Category: Time Series Analysis and Forecasting
- Category: Generative AI
- Category: Generative Model Architectures
- Category: Unsupervised Learning
