- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Transfer Learning
- Tensorflow
- Reinforcement Learning
- Unsupervised Learning
- Model Evaluation
- Generative Adversarial Networks (GANs)
- Convolutional Neural Networks
- Keras (Neural Network Library)
- Autoencoders
- Performance Tuning
Deep Learning with Keras and Tensorflow
Completed by Thenuwara Acharige Chathuranga
September 2, 2024
23 hours (approximately)
Thenuwara Acharige Chathuranga'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
