- Performance Tuning
- Artificial Neural Networks
- Transfer Learning
- Reinforcement Learning
- Autoencoders
- Recurrent Neural Networks (RNNs)
- Model Evaluation
- Keras (Neural Network Library)
- Tensorflow
- Convolutional Neural Networks
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
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
