- Performance Tuning
- Deep Learning
- Artificial Neural Networks
- Machine Learning Methods
- Generative AI
- Natural Language Processing
- Unsupervised Learning
- Tensorflow
- Artificial Intelligence
- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Keras (Neural Network Library)
Deep Learning with Keras and Tensorflow
Completed by Dhananjay Radhakrishnan Subramaniam
August 29, 2023
23 hours (approximately)
Dhananjay Radhakrishnan Subramaniam'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
