- Artificial Intelligence and Machine Learning (AI/ML)
- Unsupervised Learning
- Artificial Neural Networks
- Natural Language Processing
- Performance Tuning
- Generative AI
- Artificial Intelligence
- Tensorflow
- Reinforcement Learning
- Machine Learning Methods
- Keras (Neural Network Library)
- Deep Learning
Deep Learning with Keras and Tensorflow
Completed by YO FUJIMOTO
April 8, 2022
23 hours (approximately)
YO FUJIMOTO'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
