Deep Learning with Keras and Tensorflow
Completed by Samir Agrawal
July 24, 2024
23 hours (approximately)
Samir Agrawal'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: Model Optimization
- Category: Reinforcement Learning
- Category: Tensorflow
- Category: Autoencoders
- Category: Generative Model Architectures
- Category: Unsupervised Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Generative AI
- Category: Time Series Analysis and Forecasting
- Category: Transfer Learning
