Deep Learning with Keras and Tensorflow
Completed by Mark Watson
March 28, 2025
23 hours (approximately)
Mark Watson'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: Convolutional Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Generative Model Architectures
- Category: Transfer Learning
- Category: Reinforcement Learning
- Category: Autoencoders
- Category: Applied Machine Learning
- Category: Generative AI
- Category: Tensorflow
- Category: Time Series Analysis and Forecasting
