Deep Learning with Keras and Tensorflow
Completed by Ming-Hua Sean Diep Lawrence
November 19, 2024
23 hours (approximately)
Ming-Hua Sean Diep Lawrence'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: Generative Model Architectures
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Time Series Analysis and Forecasting
- Category: Applied Machine Learning
- Category: Generative AI
- Category: Tensorflow
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Deep Learning
- Category: Unsupervised Learning
