~Get Your Files Here !

  1 - DAY 1 Learn to Use PyCharm

   1 - Bootcamp Introduction.mp4

   2 - Introduction to PyCharm.mp4

   3 - Downloading and Installing.mp4

   4 - Exploring PyCharm Interface.mp4

   5 - Add and Run Python Files.mp4

   6 - Building and Running a Simple Program.mp4

  2 - DAY 2 Learn Python Language Basics

   10 - Tuples and Lists.mp4

   11 - Dictionaries.mp4

   12 - If Statements.mp4

   13 - While Loops and For In Loops.mp4

   14 - Function Implementation and Execution.mp4

   15 - Parameter and Return Values.mp4

   16 - Introduction to Classes and Objects.mp4

   17 - Subclasses and Superclasses.mp4

   18 - Summary and Outro.mp4

   7 - Introduction to Python Language Basics.mp4

   8 - Variables Syntax and Basic Types.mp4

   9 - Variable Operations.mp4

  3 - DAY 3 Understand Machine Learning Neural Networks

   19 - Introduction to Machine Learning Neural Networks.mp4

   20 - Introduction to Machine Learning.mp4

   21 - Introduction to Neutral Networks.mp4

   22 - Introduction to Convolutions.mp4

  4 - DAY 4 Explore the Keras API

   23 - Introduction to the Keras API.mp4

   24 - Introduction to TensorFlow and Keras.mp4

   25 - Understanding Keras Syntax.mp4

   26 - Introduction to Activation Functions.mp4

  5 - DAY 5 Format Datasets and Examine CIFAR10

   27 - Introduction to Datasets and CIFAR10.mp4

   28 - Exploring CIFAR10 Dataset.mp4

   29 - Understanding Specific Data Points.mp4

   30 - Formatting Input Images.mp4

  6 - DAY 6 Build the Image Classifier Model

   31 - Introduction to the Image Classifier Model.mp4

   32 - Building the Model.mp4

   33 - Compiling and Training the Model.mp4

   34 - Gradient Descent and Optimizer.mp4

  7 - DAY 7 Save and Load Trained Models

   35 - Introduction to Saving and Loading.mp4

   36 - Saving and Loading Model to H5.mp4

   37 - Saving Model to Protobuf File.mp4

   38 - Bootcamp Summary.mp4

  8 - Source Material

   40 - Texts Assets Understand Machine Learning Neural Networks.html

   42 - Asset Files Format Datasets and Examine CIFAR10.html

   44 - Asset Files Save and Load Trained Models.html

   Image_Classifier_Project

    Optimizers Text

    idea

     misc.xml

     workspace.xml

   Image_Data_Exploration

    idea

     misc.xml

     workspace.xml

   Intro_to_Python

    Text Files

     Collections Text

     Functions Text

    idea

     misc.xml

     workspace.xml

   Save_Model_Project

    Image_Classifier.pb

    Model_Test.py

    idea

     misc.xml

     workspace.xml

   Texts

    What is a Convolutional Neural Network_

    idea

     misc.xml

     workspace.xml

  9 - Bonus

   46 - Bonus Lecture.html

  Bonus Resources.txt