Deep Learning with Keras and Tensorflow
Completed by YO FUJIMOTO
April 8, 2022
23 hours (approximately)
YO FUJIMOTO'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: Applied Machine Learning
- Category: Generative AI
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Generative Adversarial Networks (GANs)
- Category: Autoencoders
- Category: Time Series Analysis and Forecasting
- Category: Unsupervised Learning
- Category: Convolutional Neural Networks
- Category: Tensorflow
- Category: Model Optimization
- Category: Deep Learning
- Category: Keras (Neural Network Library)
