The Deep Learning Masterclass: Classify Images With Keras

Build models with Python, TensorFlow, PyCharm, API & CIFAR-10. Learn machine learning, neural networks, & convolutions!

What you'll learn
Use PyCharm and run Python files and programs on the interface
Brush up on the fundamentals and fix bad coding habits in the #1 Python programming language
Understand and use machine learning and neural networks with core concepts and examples
Get a solid grasp of using convolutions
Learn to use the Keras API and Syntax
Get to know TensorFlow, the open source machine learning framework for everyone
Explore the CIFAR-10 image dataset
Build an image classifier model from scratch
Classify images by training a model
Get all source files for your quick reference
And much more!
Requirements
No experience required!
We will show you how to get PyCharm, Python, Keras and TensorFlow
This course was recorded on a Mac, but you can use a PC.
Description
"Very clear and babysteps-wise so far." The Deep Learning Masterclass: Make a Keras Image Classifier Welcome to this epic masterclass on Keras (and so much more) with our #1 data scientist and app developer Nimish Narang, creator of over 20 Mammoth Interactive courses and a top-seller on Udemy.This course was funded by a wildly successful KickstarterAnyone can take this course. No experience is required. If you already have experience using PyCharm and running Python files and programs on the interface, you can simply skip ahead to whatever section best suits your needs. Or, you can follow the progression of this meticulously curated course especially designed to take any absolute beginner off the street and make them a data modeler.This course is divided into days, but of course you can learn at your own pace. In Day 2 we teach you all the fundamentals of the Python programming language. If you already have experience coding in this popular language, brushing up on the fundamentals and fixing bad coding habits is a great exercise. If you are a beginner this section ensures you don't get lost with the rest of the crowd.At Day 3 we dive into machine learning and neural networks. You also get an introduction to convolutions. These are hot topics that are in high demand in the market. If you can use this new technology to your advantage you are pretty much guaranteed a job! Everyone is desperate for employees with these skills.In Day 4 we go headfirst into Keras and understanding the API and Syntax. You also get to know TensorFlow, the open source machine learning framework for everyone.At Day 5 we explore the CIFAR-10 image dataset. Then we are ready to build our very own image classifier model from scratch. You will learn how to classify images by training a model. We're going to have a lot of fun, and you'll have complete projects to put on your resume immediately. Join now in this NEW Mammoth Interactive bootcamp course!

Overview

Section 1: DAY 1: Learn to Use PyCharm

Lecture 1 Bootcamp Introduction

Lecture 2 Introduction to PyCharm

Lecture 3 Downloading and Installing

Lecture 4 Exploring PyCharm Interface

Lecture 5 Add and Run Python Files

Lecture 6 Building and Running a Simple Program

Section 2: DAY 2: Learn Python Language Basics

Lecture 7 Introduction to Python Language Basics

Lecture 8 Variables Syntax and Basic Types

Lecture 9 Variable Operations

Lecture 10 Tuples and Lists

Lecture 11 Dictionaries

Lecture 12 If Statements

Lecture 13 While Loops and For In Loops

Lecture 14 Function Implementation and Execution

Lecture 15 Parameter and Return Values

Lecture 16 Introduction to Classes and Objects

Lecture 17 Subclasses and Superclasses

Lecture 18 Summary and Outro

Section 3: DAY 3: Understand Machine Learning Neural Networks

Lecture 19 Introduction to Machine Learning Neural Networks

Lecture 20 Introduction to Machine Learning

Lecture 21 Introduction to Neutral Networks

Lecture 22 Introduction to Convolutions

Section 4: DAY 4: Explore the Keras API

Lecture 23 Introduction to the Keras API

Lecture 24 Introduction to TensorFlow and Keras

Lecture 25 Understanding Keras Syntax

Lecture 26 Introduction to Activation Functions

Section 5: DAY 5: Format Datasets and Examine CIFAR-10

Lecture 27 Introduction to Datasets and CIFAR-10

Lecture 28 Exploring CIFAR-10 Dataset

Lecture 29 Understanding Specific Data Points

Lecture 30 Formatting Input Images

Section 6: DAY 6: Build the Image Classifier Model

Lecture 31 Introduction to the Image Classifier Model

Lecture 32 Building the Model

Lecture 33 Compiling and Training the Model

Lecture 34 Gradient Descent and Optimizer

Section 7: DAY 7: Save and Load Trained Models

Lecture 35 Introduction to Saving and Loading

Lecture 36 Saving and Loading Model to H5

Lecture 37 Saving Model to Protobuf File

Lecture 38 Bootcamp Summary

Section 8: Source Material

Lecture 39 Source Code: Learn Python Language Basics

Lecture 40 Texts Assets: Understand Machine Learning Neural Networks

Lecture 41 Texts Assets: Explore the Keras API

Lecture 42 Asset Files: Format Datasets and Examine CIFAR-10

Lecture 43 Asset Files: Build the Image Classifier Model

Lecture 44 Asset Files: Save and Load Trained Models

Section 9: Bonus

Lecture 45 Please rate this course

Lecture 46 Bonus Lecture

People who want to learn machine learning concepts through practical projects with Keras, PyCharm, Python and TensorFlow,Anyone who wants to learn the technology that is shaping how we interact with the world around us