- Generative Adversarial Networks (GANs)
- Performance Tuning
- Reinforcement Learning
- Tensorflow
- Unsupervised Learning
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Model Evaluation
- Artificial Neural Networks
- Transfer Learning
- Recurrent Neural Networks (RNNs)
- Autoencoders
Deep Learning with Keras and Tensorflow
Completed by Himanshu Raj
March 9, 2024
23 hours (approximately)
Himanshu Raj'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
