The Deep Learning Masterclass Classify Images With Keras

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


Homepage

https://www.udemy.com/course/neuralnetworks/

The Deep Learning Masterclass Classify Images With Keras Fast Download
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