- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Tensorflow
- Recurrent Neural Networks (RNNs)
- Deep Learning
- Autoencoders
- Convolutional Neural Networks
- Artificial Neural Networks
- Transfer Learning
- Keras (Neural Network Library)
- Unsupervised Learning
- Generative Adversarial Networks (GANs)
Deep Learning with Keras and Tensorflow
Completed by Smiti Guru
April 25, 2020
23 hours (approximately)
Smiti Guru'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
