Objetivo: mostrar o valor da brincadeira na vida das crianças e a sua importância na aprendizagem.
Carga Horária: 40 HS
Livre
Curso na Modalidade 100% à Distância – EAD
- O lúdico na pré-história
- O lúdico na antiguidade
- O lúdico na idade média
- O lúdico na idade moderna
- O lúdico na idade contemporânea
- O lúdico no brasil
- Concepções do lúdico
- O lúdico segundo Jean Piaget
- Os jogos de exercício
- Os jogos simbólicos
- Os jogos de regras
- O lúdico segundo Levvygotsky
- O lúdico segundo Johan Huizinga
- O lúdico segundo Tizuko Kishimoto
- A educação infantil no brasil
- Caráter histórico legal da educação infantil
- O lúdico como recurso didático – pedagógico
- O brincar e a aprendizagem infantil
- Brincar livre e brincar dirigido
- O papel do professor
Avaliação realizada através de questionário avaliativo no Ambiente Virtual de Aprendizagem
Welcome to the course
1
Updates on Udemy Reviews
2
What is Deep Learning?
3
Installing Python
4
How to get the dataset
5
Some Additional Resources!!
--------------------- Part 1 - Artificial Neural Networks ---------------------
1
Welcome to Part 1 - Artificial Neural Networks
ANN Intuition
1
Plan of Attack
2
The Neuron
3
The Activation Function
4
How do Neural Networks work?
5
How do Neural Networks learn?
6
Gradient Descent
7
Stochastic Gradient Descent
8
Backpropagation
Building an ANN
1
Prerequisites
2
How to get the dataset
3
Business Problem Description
4
Installing TensorFlow and Keras
5
Building an ANN - Step 1
6
Building an ANN - Step 2
7
Building an ANN - Step 3
8
Building an ANN - Step 4
9
Building an ANN - Step 5
10
Building an ANN - Step 6
11
Building an ANN - Step 7
12
Building an ANN - Step 8
13
Building an ANN - Step 9
14
Building an ANN - Step 10
Homework Challenge - Should we say goodbye to that customer ?
1
Homework Instruction
2
Homework Solution
Evaluating, Improving and Tuning the ANN
1
Evaluating the ANN
2
Improving the ANN
3
Tuning the ANN
Homework Challenge - Put me one step down on the podium
1
Homework Instruction
-------------------- Part 2 - Convolutional Neural Networks --------------------
1
Welcome to Part 2 - Convolutional Neural Networks
CNN Intuition
1
What You'll Need for CNN
2
Plan of attack
3
What are convolutional neural networks?
4
Step 1 - Convolution Operation
5
Step 1(b) - ReLU Layer
6
Step 2 - Pooling
7
Step 3 - Flattening
8
Step 4 - Full Connection
9
Summary
10
Softmax & Cross-Entropy
Building a CNN
1
How to get the dataset
2
Installing TensorFlow and Keras
3
Introduction to CNNs
4
Building a CNN - Step 1
5
Building a CNN - Step 2
6
Building a CNN - Step 3
7
Building a CNN - Step 4
8
Building a CNN - Step 5
9
Building a CNN - Step 6
10
Building a CNN - Step 7
11
Building a CNN - Step 8
12
Building a CNN - Step 9
13
Building a CNN - Step 10
Homework - What's that pet ?
1
Homework Instruction
2
Homework Solution
Evaluating, Improving and Tuning the CNN
1
Homework Challenge - Get the gold medal
2
Homework Challenge Solution - Get the gold medal
---------------------- Part 3 - Recurrent Neural Networks ----------------------
1
Welcome to Part 3 - Recurrent Neural Networks
RNN Intuition
1
What You'll Need for RNN
2
Plan of attack
3
The idea behind Recurrent Neural Networks
4
The Vanishing Gradient Problem
5
LSTMs
6
Practical intuition
7
EXTRA: LSTM Variations
Building a RNN
1
How to get the dataset
2
Installing TensorFlow and Keras
3
Building a RNN - Step 1
4
Building a RNN - Step 2
5
Building a RNN - Step 3
6
Building a RNN - Step 4
7
Building a RNN - Step 5
8
Building a RNN - Step 6
9
Building a RNN - Step 7
10
Building a RNN - Step 8
11
Building a RNN - Step 9
12
Building a RNN - Step 10
13
Building a RNN - Step 11
14
Building a RNN - Step 12
15
Building a RNN - Step 13
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don`t have an internet connection, some instructors also let their students download course lectures. That`s up to the instructor though, so make sure you get on their good side!
