- Convolutional Neural Networks
- Tensorflow
- Model Evaluation
- Deep Learning
- Reinforcement Learning
- Artificial Neural Networks
- Artificial Intelligence and Machine Learning (AI/ML)
- Unsupervised Learning
- Performance Tuning
- Keras (Neural Network Library)
- Generative Adversarial Networks (GANs)
- Transfer Learning
Deep Learning with Keras and Tensorflow
Completed by Priscila dos Passos Pri
June 24, 2024
23 hours (approximately)
Priscila dos Passos Pri'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
