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Running the Program Lesson 30

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Lesson extensions

Lessons List | 38 Lesson
Artificial Intelligence TensorFlow Machine Learning Course Preview
00:02:32

Artificial Intelligence TensorFlow Machine Learning Course Preview
What is Machine Learning or AI Lesson 01
00:06:34

What is Machine Learning or AI Lesson 01
Why browser or Javascript Lesson 02
00:03:46

Why browser or Javascript Lesson 02
Section Introduction of Javascript basics Lesson 03
00:01:29

Section Introduction of Javascript basics Lesson 03
Integrating with HTML Lesson 04
00:10:20

Integrating with HTML Lesson 04
Variables and Variable types Lesson 05
00:10:22

Variables and Variable types Lesson 05
Conditioning Lesson 06
00:08:50

Conditioning Lesson 06
Functions Lesson 07
00:10:26

Functions Lesson 07
Looping in Javascript Lesson 08
00:11:19

Looping in Javascript Lesson 08
Intro to the section Lesson 09
00:02:14

Intro to the section Lesson 09
Dom manipulation Lesson 10
00:09:56

Dom manipulation Lesson 10
What is a tensor Lesson 11
00:05:57

What is a tensor Lesson 11
Creating a tensor Lesson 12
00:10:30

Creating a tensor Lesson 12
Tensorflow zeros Lesson 13
00:05:38

Tensorflow zeros Lesson 13
Tensorflow Variables Lesson 14
00:04:49

Tensorflow Variables Lesson 14
Operations of variables Lesson 15
00:06:48

Operations of variables Lesson 15
Project 2 Lesson 16
00:02:54

Project 2 Lesson 16
Solution 2 Lesson 17
00:05:41

Solution 2 Lesson 17
Project Description Lesson 18
00:05:32

Project Description Lesson 18
npm init Lesson 19
00:06:04

npm init Lesson 19
Creating the input dataset 1 Lesson 20
00:14:38

Creating the input dataset 1 Lesson 20
Creating the input dataset 2 Lesson 21
00:08:21

Creating the input dataset 2 Lesson 21
Building a model Lesson 22
00:07:28

Building a model Lesson 22
Loss and train Function Lesson 23
00:11:15

Loss and train Function Lesson 23
Building User Interface Part 1 Lesson 24
00:10:59

Building User Interface Part 1 Lesson 24
Building User Interface Part 2 Lesson 25
00:06:35

Building User Interface Part 2 Lesson 25
Creating the html Lesson 26
00:17:00

Creating the html Lesson 26
Styling the HTML Lesson 27
00:14:57

Styling the HTML Lesson 27
Completing index js Lesson 28
00:15:50

Completing index js Lesson 28
Adding Babel javascript Lesson 29
00:10:21

Adding Babel javascript Lesson 29
Running the Program Lesson 30
00:07:10

Running the Program Lesson 30
What are Neurons Lesson 31
00:04:20

What are Neurons Lesson 31
What are weights Lesson 32
00:08:44

What are weights Lesson 32
What are biases Lesson 33
00:07:23

What are biases Lesson 33
Activation Functions Lesson 34
00:06:12

Activation Functions Lesson 34
XOR logic project Lesson 35
00:11:06

XOR logic project Lesson 35
Training Loop Lesson 36
00:11:30

Training Loop Lesson 36
Running the Program Lesson 37
00:06:16

Running the Program Lesson 37

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Machine Learning using tensorFlow course, in this course delves into the intricacies of Machine Learning using TensorFlow, an open-source library developed by Google. Participants will explore various machine learning algorithms and techniques implemented through TensorFlow, gaining hands-on experience in building and deploying models for diverse applications. From introductory concepts to advanced neural network architectures, learners will grasp the fundamentals of deep learning, reinforcement learning, natural language processing, and computer vision. Through practical exercises and projects, students will acquire proficiency in leveraging TensorFlow to develop robust and scalable machine learning solutions, equipping them with the skills needed to tackle real-world challenges in the field.
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