Deep Learning with Keras and Tensorflow
Completed by Benny Lim
June 29, 2021
23 hours (approximately)
Benny Lim'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: Time Series Analysis and Forecasting
- Category: Applied Machine Learning
- Category: Unsupervised Learning
- Category: Convolutional Neural Networks
- Category: Model Optimization
- Category: Generative Model Architectures
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Deep Learning
- Category: Generative Adversarial Networks (GANs)
- Category: Autoencoders
