Deep Learning with Keras and Tensorflow
Completed by Seyedeh Sara Molavi Arabshahi
April 11, 2021
23 hours (approximately)
Seyedeh Sara Molavi Arabshahi'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: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Tensorflow
- Category: Generative Adversarial Networks (GANs)
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Deep Learning
- Category: Autoencoders
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Time Series Analysis and Forecasting
