- Generative Adversarial Networks (GANs)
- Performance Tuning
- Computer Vision
- Model Evaluation
- Autoencoders
- Machine Learning Methods
- Transfer Learning
- Unsupervised Learning
- Recurrent Neural Networks (RNNs)
- Artificial Intelligence and Machine Learning (AI/ML)
- Reinforcement Learning
- Keras (Neural Network Library)
Deep Learning with Keras and Tensorflow
Completed by Satyam Jaiswal
March 18, 2020
23 hours (approximately)
Satyam Jaiswal'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
