- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Neural Networks
- Deep Learning
- Tensorflow
- Natural Language Processing
- Performance Tuning
- Generative AI
- Time Series Analysis and Forecasting
- Keras (Neural Network Library)
- Image Analysis
- Artificial Intelligence
- Unsupervised Learning
Deep Learning with Keras and Tensorflow
Completed by Ali Ranjbar Ferdos
January 27, 2024
23 hours (approximately)
Ali Ranjbar Ferdos'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
