- Deep Learning
- Unsupervised Learning
- Transfer Learning
- Keras (Neural Network Library)
- Convolutional Neural Networks
- Model Evaluation
- Tensorflow
- Artificial Intelligence and Machine Learning (AI/ML)
- Recurrent Neural Networks (RNNs)
- Performance Tuning
- Generative Adversarial Networks (GANs)
- Reinforcement Learning
Deep Learning with Keras and Tensorflow
Completed by Rennan Cockles
January 9, 2020
23 hours (approximately)
Rennan Cockles'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
