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Build and train a data model to recognize objects in images!

Build and train a data model to recognize objects in images!

Loại khoá học: Development

Make an image recognition model with TensorFlow & Python predictive modeling, regression analysis & machine learning!

image
50.000 VND
399.000 VND
Đầy Đủ Bài Giảng
Học Online Tiện Lợi
Kích Hoạt Nhanh 2-5 Phút
Thanh toán tự động
Được phép tải xuống

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Mô tả

"Well done!!!!!! I found it the BEST source for me out of many to learn how to implement AI project due the facts it starts from the very basics of Python and TensorFlow and assumes no prior knowledge (or almost no prior knowledge) which should not be taken for granted since other courses do so. The instructor is wonderful and explains all the concepts wonderfully! Thank you so much! helped me a lot!"

"Very easy to understand. Loving it so far!" - Arthur G.

This course was funded by a wildly successful Kickstarter.

Let's learn how to perform automated image recognition! In this course, you learn how to code in Python, calculate linear regression with TensorFlow, and perform CIFAR 10 image data and recognition. We interweave theory with practical examples so that you learn by doing.

AI is code that mimics certain tasks. You can use AI to predict trends like the stock market. Automating tasks has exploded in popularity since TensorFlow became available to the public (like you and me!) AI like TensorFlow is great for automated tasks including facial recognition. One farmer used the machine model to pick cucumbers! 

Join Mammoth Interactive in this course, where we blend theoretical knowledge with hands-on coding projects to teach you everything you need to know as a beginner to image recognition.

Enroll today to join the Mammoth community!

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11 sections

Introduction

1 lectures
What is Python Artificial Intelligence?
05:00

Python Basics

8 lectures
Installing Python and PyCharm
05:18
How to Use PyCharm
05:16
Intro and Variables
11:49
Multi-value Variables
23:15
Control Flow
29:08
Functions
14:19
Classes and Wrap Up
40:52
($300 value!) Source Files
00:01

TensorFlow Basics

10 lectures
Intro and Set up
04:11
What is TensorFlow?
13:28
Update! Importing TensorFlow to PyCharm
04:25
FAQ: Help with TensorFlow Installation
00:10
Constant and Operation Nodes
14:26
Placeholder Nodes
11:06
Variable Nodes
08:22
How to Create Linear Regression Model
05:48
Building Linear Regression Model
24:18
($300 value!) Source Files
00:01

Image Recognition (CIFAR-10 Project)

11 lectures
Introduction
03:09
Project Overview
03:00
Important CIFAR Packages
08:35
Displaying Images with PIL
07:30
Retrieving CIFAR 10 Data
09:32
Installing Matplotlib
00:06
Playing with CIFAR Images
08:56
Building the Model
14:13
Building Training Data and Training the Model
08:24
Testing the Model
13:38
($300 value!) Source Files
00:01

Bootcamp Peek! Machine Learning Neural Networks

4 lectures
Introduction to Machine Learning Neural Networks
02:01
Introduction to Machine Learning
10:56
Introduction to Neutral Networks
10:23
Introduction to Convolutions
13:43

Explore the Keras API

4 lectures
Introduction to the Keras API
01:49
Introduction to TensorFlow and Keras
09:06
Understanding Keras Syntax
18:46
Introduction to Activation Functions
12:59

Format Datasets and Examine CIFAR-10

4 lectures
Introduction to Datasets and CIFAR-10
01:53
Exploring CIFAR-10 Dataset
08:36
Understanding Specific Data Points
17:17
Formatting Input Images
12:04

Build the Image Classifier Model

4 lectures
Introduction to the Image Classifier Model
02:23
Building the Model
17:52
Compiling and Training the Model
12:38
Gradient Descent and Optimizer
14:24

Save and Load Trained Models

4 lectures
Introduction to Saving and Loading
02:08
Saving and Loading Model to H5
14:53
Saving Model to Protobuf File
17:24
Bootcamp Summary
05:40

Bonus Sections Source Material

5 lectures
Texts Assets: Understand Machine Learning Neural Networks
00:01
Texts Assets: Explore the Keras API
00:01
Asset Files: Format Datasets and Examine CIFAR-10
00:01
Asset Files: Build the Image Classifier Model
00:01
Asset Files: Save and Load Trained Models
00:01

Resources

2 lectures
Please leave us a rating
00:03
Bonus Lecture: Get 155 courses!
00:06

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