Introduction to Deep Learning & Neural Networks with Keras
Completed by Teeguri Prasanna Kumar Reddy
November 13, 2022
10 hours (approximately)
Teeguri Prasanna Kumar Reddy's account is verified. Coursera certifies their successful completion of Introduction to Deep Learning & Neural Networks with Keras
What you will learn
Describe the foundational concepts of deep learning, neurons, and artificial neural networks to solve real-world problems
Explain the core concepts and components of neural networks and the challenges of training deep networks
Build deep learning models for regression and classification using the Keras library, interpreting model performance metrics effectively.
Design advanced architectures, such as CNNs, RNNs, and transformers, for solving specific problems like image classification and language modeling
Skills you will gain
- Category: Classification And Regression Tree (CART)
- Category: Image Analysis
- Category: Convolutional Neural Networks
- Category: Natural Language Processing
- Category: Keras (Neural Network Library)
- Category: Model Evaluation
- Category: Generative Model Architectures
- Category: Artificial Neural Networks
- Category: Machine Learning
- Category: Regression Analysis
- Category: Transfer Learning
- Category: Deep Learning
