Deep Learning With Python Power Bootcamp

Course Name : Deep Learning With Python Power Bootcamp

Duration : 5 Days

Prerequisite: Python, Data Science With Python, Machine Learning With Python

Course Index:

    Day 1: Introduction to Deep Learning

    What is Deep Learning:

  • -What is Weight ?
  • -What is Bias ?
  • -What is Accuracy ?
  • -What is Neuron ?
  • -What is Perceptron ?
  • -What is Multi Layer Perceptron ?
  • -What is Activation Function ?
  • -What is ReLu ?
  • -What is Elu ?
  • -What is Sigmoid ?
  • -What is Loss ?
  • -What is Accuracy ?
  • -What is Adam ?
  • -What is the difference between ML & ML ?
  • -Types Of Deep Learning
  • Advanced Algorithms

  • -See the difference between 2 reports
  • -Automaticaly create new log file from selected inputs of 2 log files
  • -Advanced Algorithms in OS level: HR Program Management For Folders, Files, Input Level
  • Testing in Python:

  • -Test Functions : Assert
  • -UnitTest Library
  • -If __name__ == 'main'
  • -Create a Unit Test in Python
  • Sending Emails With Python:

  • -Without Subjects
  • -With Subjects
  • -Time Scheduled Email For Linux & Mac
  • -Time Scheduled Email For Windows
  • -Sending Attached Email With Python
  • -Sending Multiple Attached Emails To Multiple Recipients With Python
  • Set Your Parameters and Get Alarms From Web Server: -BitCoin API Management With Automatic Email Management
  • Creating ChatBot With WebHook For Webex API
  • Day 2: Classifier & FNN

  • -TensorFlow Playground
  • -Classifier patterns with Keras: Diabetic Prediction
  • -Classifier patterns with Keras: Heart Attack Prediction
  • -Image Processing With OpenCV, CVlib & Tensor Flow
  • Introduction to Feedforward neural networks (FNN)
  • -FNN Regression: KC House (Seattle)
  • -FNN Classification: Breast Cancer
  • Day 3:

  • Intro to convolutional neural networks (CNNs)
  • -CNN architectures
  • -CNN Convolutional NN => MNIST Digits, MNIST Fashion, CIFAR-10
  • Day 4:

  • Intro to recurrent neural networks (RNNs)
  • -Training recurrent neural networks
  • -Sentiment analysis of movie reviews using RNNs and Keras
  • Day 5:

  • -Introduction to RPA
  • -RPA with Python
  • -Sensor Management System With Paho Library
  • -IVR: Text to Speech With Python
  • -TagUI
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