Deep Learning with Keras and Tensorflow
Completed by Mary Ann Peterman
June 28, 2020
23 hours (approximately)
Mary Ann Peterman'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
- Category: Convolutional Neural Networks
- Category: Unsupervised Learning
- Category: Reinforcement Learning
- Category: Keras (Neural Network Library)
- Category: Time Series Analysis and Forecasting
- Category: Transfer Learning
- Category: Generative Model Architectures
- Category: Autoencoders
- Category: Model Optimization
- Category: Deep Learning
- Category: Model Training
- Category: Generative Adversarial Networks (GANs)
