Deep Learning- Visual Exploration

Deep Learning: Visual Exploration, available at $24.99, has an average rating of 4.65, with 15 lectures, based on 193 reviews, and has 11555 subscribers.

You will learn about Deep understanding of what is deep neural network and how exactly it works under the hood to come up with good predictions in real life problems (we will only explore feedforward deep neural network for binary classification in our course, but we discuss fundamentals so knowledge you will get is also applicable to all the other network types!) Understand what is decision boundary and how exactly it is formed by a deep neural network Understand why deep neural networks are also knows as function approximators This course is ideal for individuals who are People who like to understand things visually or People who like simple explanations against mathematical and formal ones or If you are just starting with Deep Learning or AI in general, this course if for you! or If you think what is happening under the hood of deep neural network is a mystery, this course is for you! – we totally demystify DNNs in this course! or If you wonder how exactly weights, biases and activation functions are working, this course is for you! or Experienced deep learning users who want to improve their understanding on how exactly Deep Neural network is able to come up with complex function approximations It is particularly useful for People who like to understand things visually or People who like simple explanations against mathematical and formal ones or If you are just starting with Deep Learning or AI in general, this course if for you! or If you think what is happening under the hood of deep neural network is a mystery, this course is for you! – we totally demystify DNNs in this course! or If you wonder how exactly weights, biases and activation functions are working, this course is for you! or Experienced deep learning users who want to improve their understanding on how exactly Deep Neural network is able to come up with complex function approximations.

Enroll now: Deep Learning: Visual Exploration

Summary

Title: Deep Learning: Visual Exploration

Price: $24.99

Average Rating: 4.65

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: 24.99

Quality Status: approved

Status: Live

What You Will Learn

Deep understanding of what is deep neural network and how exactly it works under the hood to come up with good predictions in real life problems (we will only explore feedforward deep neural network for binary classification in our course, but we discuss fundamentals so knowledge you will get is also applicable to all the other network types!)

Understand what is decision boundary and how exactly it is formed by a deep neural network

Understand why deep neural networks are also knows as function approximators

Who Should Attend

People who like to understand things visually

People who like simple explanations against mathematical and formal ones

If you are just starting with Deep Learning or AI in general, this course if for you!

If you think what is happening under the hood of deep neural network is a mystery, this course is for you! – we totally demystify DNNs in this course!

If you wonder how exactly weights, biases and activation functions are working, this course is for you!

Experienced deep learning users who want to improve their understanding on how exactly Deep Neural network is able to come up with complex function approximations

Target Audiences

People who like to understand things visually

People who like simple explanations against mathematical and formal ones

If you are just starting with Deep Learning or AI in general, this course if for you!

If you think what is happening under the hood of deep neural network is a mystery, this course is for you! – we totally demystify DNNs in this course!

If you wonder how exactly weights, biases and activation functions are working, this course is for you!

Experienced deep learning users who want to improve their understanding on how exactly Deep Neural network is able to come up with complex function approximations

Visual introduction to Deep Learning based on simple deep neural network. Take this course if you want to understand the magic behind deep neural networks and to get a excellent visual?intuition on what is happening under the hood when data is travelling through the network and ends up as a prediction at it’s output.

In this course we will fully demystify such concepts as?weights, biases and activation functions. You will visually?see what?exactly?they are doing and how neural network uses these components to come up with accurate predictions.

Course Curriculum

Chapter 1: Deep Learning – Deep Understanding by Visual Exploration

Lecture 1: Before We Begin

Lecture 2: What We Will Do

Lecture 3: Visual Exploration – Tensorflow Playground

Lecture 4: Preparing Data

Lecture 5: Creating Basic Deep Neural Network (DNN)

Lecture 6: Visual Exploration – Sigmoid Function (Activation Function)

Lecture 7: Finding Parameters (Training our Deep Neural Network)

Lecture 8: Visual Exploration – Signal Journey Through Deep Neural Network (2D)

Lecture 9: Backpropagation Intro

Lecture 10: Visual Exploration – Signal Journey Through Deep Neural Network (3D)

Lecture 11: Visual Exploration – Visualizing Neurons of Our Deep Neural Network

Lecture 12: Visual Exploration – Slices 2D (Neural Networks Magic Behind Good Predictions)

Lecture 13: Visual Exploration – Slices 3D (How Exactly Neural Network Makes Predictions)

Lecture 14: Visual Exploration – Decision Boundary (How Deep Neural Network Classifies Data)

Lecture 15: Summary & Homework

Instructors

Vladimir Grankin
Software Engineer

Rating Distribution

1 stars: 4 votes

2 stars: 3 votes

3 stars: 30 votes

4 stars: 76 votes

5 stars: 80 votes

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