- Transfer Learning
- Tensorflow
- Keras (Neural Network Library)
- Generative AI
- Artificial Intelligence and Machine Learning (AI/ML)
- Computer Vision
- Recurrent Neural Networks (RNNs)
- Generative Adversarial Networks (GANs)
- Convolutional Neural Networks
- Deep Learning
- Performance Tuning
- Machine Learning Methods
Deep Learning with Keras and Tensorflow
Completed by Camilo Andres Acosta Urrego
June 8, 2024
23 hours (approximately)
Camilo Andres Acosta Urrego'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
