Visão Geral

Neste Curso TensorFlow Deep Learning, você obterá as habilidades e o conhecimento necessários para aproveitar o TensorFlow para resolver problemas de aprendizado profundo do mundo real. Você vai aprender como:

• Entenda os tensores e suas variáveis
• Use a API sequencial e funcional do TensorFlow

Objetivo

Após realizar este Curso TensorFlow Deep Learning você será capaz de:

• Aproveite as redes neurais artificiais
• Entenda os pontos fortes e as limitações do TensorFlow
• Use o TensorFlow 2.x, dos fundamentos aos blocos de construção
  
• Treine, teste e avalie um modelo do TensorFlow
• Implantar um modelo treinado do TensorFlow
• Continue aprendendo e enfrente novos desafios com o coaching individual após o curso
  

Materiais

Conteúdo Programatico

Understanding Artificial Neural Networks and TensorFlow

1. The basics of artificial neural networks
   
2. The lifecycle of building a TensorFlow model
3. The basics of Deep Learning
4. Layered architecture of TensorFlow
5. Constants, variables and Tensors

Lab:

• Introduction to Tensors and Variables

Feature Engineering with TensorFlow

1. Use tf.data
   
2. Define a Keras Model
3. Build wide and deep models

Lab:

• Exploring tf.data
  
• Using TensorFlow sequential API
• Using TensorFlow functional API

TensorFlow Under the Hood

1. Defining gradient descent
   
2. Activation functions
3. Hyperparameters
4. Regularization

Lab:

• Keras and TensorFlow

Feature Engineering

1. Basics of Feature Engineering
   
2. Raw Data and Features
3. Feature Crosses
4. Transform

Lab:

• Feature Engineering
  
• Basic Feature Engineering in Keras
• Advanced Feature Engineering in Keras
• Exploring Tf.transform

Monitoring and Deployment

1. Monitoring with TensorBoard
   
2. Saving and Versioning Model
3. Deploying Models

Lab:

Using TensorBoard to Monitor the performance