Visão Geral

No Curso Deep Learning for Beginners, você aprenderá a ter uma compreensão básica do Deep Learning e suas aplicações.

Objetivo

Ao participar do Curso Deep Learning for Beginners, os participantes aprenderão:

• Aprendizado de máquina
• Aprendizado profundo
• Estúdio de aprendizagem profunda
• Classificação de dígitos manuscritos
• Classificação de imagens
• Análise Sentimental
• Modelagem de Tópico

Publico Alvo

• Cientistas de Dados
• Analistas de dados
• Engenheiros

Materiais

Conteúdo Programatico

Overview of Machine Learning and Deep Learning

1. What is Machine Leanring?
2. Real Life Applications of Machine Learning
3. Types of Machine Learning
4. What is Neural Network
5. What is Deep Learning
6. Machine Learning vs Deep Learning

Deep Learning Studio Desktop

1. Install Deep Learning Studio Desktop
2. Exploring Deep Learning Studio Desktop Interface

HandWritten Digit Classification

1. MNIST Handwritten Digit Dataset
2. MNIST Classification with Feedforward Neural Nework
3. What is Convolutional Neural Network (CNN)
4. MNIST Classification with CNN

Image Classification

1. CIFAR10 Image Dataset
2. CIFAR10 Classification with Feedforward Neural Nework
3. CIFAR10 Classificatio with CNN

Sentimental Analysis

1. IMDB Movie Review Dataset
2. What is Recurrent Neural Network (RNN)
3. What is Long Short Term Memory (LSTM)
4. IMDB Sentimental Analysis with LSTM RNN

Topic Modeling

1. Reuters Newswire Dataset
2. Reuters Topic Modeling with LSTM RNN