courseraАнализ данных

Deep Learning Essentials

Курс от University of Pennsylvania

Средний≈ 15.7 чАнглийский

О курсе

Delve into the history of deep learning, and explore neural networks like the perceptron, how they function, and what architectures underpin them. Complete short coding assignments in Python.

Навыки, которые вы освоите

Deep Learning Artificial Neural Networks Model Optimization Machine Learning Machine Learning Algorithms Machine Learning Methods Data Preprocessing Model Training Network Model Applied Machine Learning Supervised Learning PyTorch (Machine Learning Library)

Программа курса

4 модулей · 57 учебных материалов

01Module 1: History of Deep Learning17 материалов

Учитесь у экспертов

Chris Callison-Burch

Associate Professor

Pratik Chaudhari

Assistant Professor

Deep Learning Essentials

О курсе

Навыки, которые вы освоите

Программа курса

Welcome to Deep Learning Essentials

Module 1 Introduction

Lesson 1: What is Intelligence?

Учитесь у экспертов

Chris Callison-Burch

Pratik Chaudhari

Lesson 2: The Timeline of Intelligence

Lesson 3: Perceptron

Module Assignment

Module 2 Introduction

Lesson 1: Stochastic Gradient Descent for Perceptron

Lesson 2: SGD & Non-linear Classifiers

Lesson 3: Kernel Methods

Module Assignment

Module 3 Introduction

Lesson 1: Learning the Feature Vector

Lesson 2: Feature Matrix & Deep Fully Connected Networks

Lesson 3: Neural Networks & Mammalian Retina

Module Assignment

Module 4 Introduction

Lesson 1: Deep Learning Jargon & Weights

Lesson 2: Overview of Backpropagation

Lesson 3: Continuing Backpropagation

Module Assignment