Toggle Side Panel
Close search
Course Content
UNIT 1
0/8
Unit 1.1
1. 2 Building Intelligent Machines
1. 3 the Neurons
1.4 Training, Validation, and Test Sets
1.5 Gradient Descent with Sigmoidal Neurons
1.6 The Backpropagation Algorithm
1.7 Feed-Forward Neural Networks
1.8 Sigmoid, Tanh, and ReLU Neurons
puzzle
0/3
Puzzle 1
puzzle 2
puzzle 3
Quiz
0/3
Deep learning
CNN
Tensor Flow
Assignment
0/5
Assignment 1
Assignment 2
Assignment 3
Assignment 4
Assignment 5
Tutorial link
0/3
Link 1
00:00
Link 2
00:00
Link 3- Artificial Intelligence
00:00
Reference Link
0/3
Link 1
00:00
Link 2
Link 3
Syllabus
0/1
Syllabus
UNIT 2
0/5
What Is TensorFlow
Installing TensorFlow
Creating and Manipulating TensorFlow Variables
TensorFlow Operations
The Challenges with Gradient Descent
Question Bank
0/1
Question bank
unit 3
0/6
Neurons in Human Vision
The Shortcomings of Feature Selection
Building a Convolutional Network for CIFAR-10
Full Architectural Description of Convolution Networks
Principal Component Analysis
Implementing an Autoencoder in TensorFlow
unit 4
0/4
What is Artificial Intelligence?
Types of Machine Learning Algorithms
Introduction to Machine Learning
Knowledge Representation
unit 5
0/3
What is Deep Learning?
Artificial Neural Network
The Convolutional Layer sub Field
Deeplearning and AI
Exercise Files
Deep Learning and AI QB.xlsx
Size: 26.42 KB
Previous
Next

Report

Harassment or bullying behavior
Contains mature or sensitive content
Contains misleading or false information
Contains abusive or derogatory content
Contains spam, fake content or potential malware

Block Member?

Please confirm you want to block this member.

You will no longer be able to:

  • See blocked member's posts
  • Mention this member in posts
  • Invite this member to groups
  • Message this member
  • Add this member as a connection

Please note: This action will also remove this member from your connections and send a report to the site admin. Please allow a few minutes for this process to complete.

Report

You have already reported this .