Foundations of Deep Learning

Introduction

In this course, you will learn the basic concepts of deep learning, including the basic principles of neural networks, the basic principles of TensorFlow, Keras and PyTorch, and the basic principles of linear regression, logistic regression, and multi-layer neural networks. You will also learn how to use TensorFlow, Keras and PyTorch to build a linear regression model, a logistic regression model, and a multi-layer neural network model.

🎯 Tasks

In this course, you will learn:

• The basic principles of neural networks
• The basic principles of TensorFlow, Keras and PyTorch
• The basic principles of linear regression, logistic regression, and multi-layer neural networks
• How to use TensorFlow, Keras and PyTorch to build a linear regression model
• How to use TensorFlow, Keras and PyTorch to build a logistic regression model
• How to use TensorFlow, Keras and PyTorch to build a multi-layer neural network model

🏆 Achievements

After completing this course, you will be able to:

• Understand the basic concepts of deep learning
• Implement linear regression, logistic regression, and multi-layer neural networks using TensorFlow, Keras and PyTorch
• Build and train deep learning models for various tasks