Deep Learning with Keras and Tensorflow
Completed by Amgad Isaiah Cadeliña
February 1, 2024
23 hours (approximately)
Amgad Isaiah Cadeliña'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: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Autoencoders
- Category: Transfer Learning
- Category: Generative Model Architectures
- Category: Reinforcement Learning
- Category: Tensorflow
- Category: Time Series Analysis and Forecasting
- Category: Generative Adversarial Networks (GANs)
- Category: Convolutional Neural Networks
- Category: Unsupervised Learning
- Category: Model Optimization
