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