- Performance Tuning
- Reinforcement Learning
- Keras (Neural Network Library)
- Transfer Learning
- Convolutional Neural Networks
- Unsupervised Learning
- Autoencoders
- Deep Learning
- Model Evaluation
- Tensorflow
- Machine Learning Methods
- Artificial Neural Networks
Deep Learning with Keras and Tensorflow
Completed by Akash Upadhyay
June 21, 2020
23 hours (approximately)
Akash Upadhyay'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
