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Language:
English
Total Size:
5.9 GB
Info Hash:
E6FA945E3388027E8F2A6DE003AB3891AE5CB0A4
Added By:
Added:
June 1, 2023, 10:35 p.m.
Stats:
|
(Last updated: Oct. 28, 2026, 7:57 a.m.)
| File | Size |
|---|---|
| 02 Optional but Recommended [Learn Python in Easy Way]/020 Classes and Objects in Python.mp4 | 276.7 MB |
| 01 Introduction/001 Introduction.mp4 | 24.3 MB |
| 01 Introduction/002 Install anaconda on your machine.mp4 | 69.1 MB |
| 01 Introduction/003 Set up environment and Download Machine Learning Libraries.mp4 | 80.5 MB |
| 01 Introduction/004 Introduction to Jupyter Notebook.mp4 | 111.4 MB |
| 01 Introduction/005 Introduction to Artificial Intelligence and Machine Learning [lecture].mp4 | 110.5 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/001 Download and setup Pycharm code editor on Windows.mp4 | 55.8 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/002 Download Visual Studio code editor on Windows (Optional).mp4 | 34.9 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/003 Download and setup Pycharm code editon on Linux.mp4 | 57.2 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/004 How to read Python documentation.mp4 | 57.6 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/005 Variables on Python.mp4 | 57.8 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/006 Data Types_ String, Set and Numbers.mp4 | 86.0 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/007 Data Types_ List, Dictionaty and Tuple.mp4 | 67.5 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/008 Operators and Operands.mp4 | 104.4 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/009 Logical Operators and Operations.mp4 | 53.1 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/010 Comments and User Input.mp4 | 66.0 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/011 Built-in Modules and Creating your own Modules.mp4 | 117.2 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/012 Python _List_ Data Structures.mp4 | 194.3 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/013 Python _Dictionary_ Data Structures.mp4 | 62.6 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/014 Python Indentation.mp4 | 41.2 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/015 Python Conditionals_ if...else statements.mp4 | 49.6 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/016 Looping in Python_ while Loops.mp4 | 31.4 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/017 Looping in Python_ for Loops.mp4 | 78.5 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/018 User Defined Functions in Python.mp4 | 130.3 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/019 Default Arguments in Python.mp4 | 33.0 MB |
| Downloaded from 1337x.html | 543 bytes |
| 02 Optional but Recommended [Learn Python in Easy Way]/021 Basic Inheritance in Python.mp4 | 113.8 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/022 Multiple Inheritance in Python.mp4 | 47.5 MB |
| 02 Optional but Recommended [Learn Python in Easy Way]/023 __name__ == __main__.mp4 | 42.4 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/001 Data Types in Machine Learning.mp4 | 31.6 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/002 Data Preprocessing Part 1.mp4 | 229.0 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/003 Data Preprocessing Part 2.mp4 | 155.0 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/004 Data Preprocessing Part 3.mp4 | 117.9 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/005 Introduction to numpy module.mp4 | 71.9 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/006 Introduction to pandas module.mp4 | 164.1 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/007 Train and Test Splitting of Data.mp4 | 89.5 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/008 Encoding Process in Machine Learning.mp4 | 68.0 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/009 Introduction to overfit and underfit of model.mp4 | 141.0 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/010 Cross entropy of Logistic Regression.mp4 | 157.9 MB |
| 03 Prerequisite_ ML libraries for data preprocessing/038 Confusion Matrix for your Multi-Class ML Model.pdf | 267.6 KB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/001 Introduction to Artificial Intelligence.mp4 | 68.3 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/002 Introduction to Neural Networks.mp4 | 116.4 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/003 Inspiration and representation for Neural Network.mp4 | 77.1 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/004 History and Application of Neural Network.mp4 | 69.5 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/005 Example of neural network.mp4 | 49.4 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/006 Updating the weights [partial differentiation].mp4 | 92.5 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/007 Introduction to partial differentiation.mp4 | 56.1 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/008 Introduction to the Activation Function.mp4 | 105.6 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/009 Why do we need bias in the program.mp4 | 44.8 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/010 Why we use regularization in the Neural Network.mp4 | 63.1 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/011 Introduction to the gradient descent [review].mp4 | 60.5 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/012 Introduction to Stochastic Gradient Descent and Adam Optimizer.mp4 | 78.0 MB |
| 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/013 Introduction to mini-batch SGD.mp4 | 16.2 MB |
| 05 Tutorial_ Numerical on Backpropagation/001 Derivative of sigmoid function [must watch].mp4 | 69.5 MB |
| 05 Tutorial_ Numerical on Backpropagation/002 Introduction to the problem.mp4 | 45.3 MB |
| 05 Tutorial_ Numerical on Backpropagation/003 Forward Propagation of Artificial Neural Network.mp4 | 128.0 MB |
| 05 Tutorial_ Numerical on Backpropagation/004 Error in the problem.mp4 | 75.7 MB |
| 05 Tutorial_ Numerical on Backpropagation/005 Backpropagation in ANN.mp4 | 164.8 MB |
| 05 Tutorial_ Numerical on Backpropagation/052 A Step by Step Backpropagation.pdf | 3.9 MB |
| 05 Tutorial_ Numerical on Backpropagation/053 A Step by Step Backpropagation.pdf | 3.9 MB |
| 05 Tutorial_ Numerical on Backpropagation/054 A Step by Step Backpropagation.pdf | 3.9 MB |
| 05 Tutorial_ Numerical on Backpropagation/056 A Step by Step Backpropagation.pdf | 3.9 MB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/001 Setting up environment and coding single neuron.mp4 | 68.8 MB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/002 Coding neuron layer.mp4 | 94.6 MB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/003 Using dot product to code neuron layer.mp4 | 49.1 MB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/004 Coding dense layer [must know Object Oriented Programming].mp4 | 121.3 MB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/005 Introduction to Activation Function.mp4 | 104.9 MB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/006 Implementation of activation function [step and sigmoid].mp4 | 69.3 MB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/007 Implementation of activation function [tanh and ReLu].mp4 | 62.0 MB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/057 Artificial NN from scratch/Artificial NN from scratch.ipynb | 9.2 KB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/058 Artificial NN from scratch/Artificial NN from scratch.ipynb | 9.2 KB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/059 Artificial NN from scratch/Artificial NN from scratch.ipynb | 9.2 KB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/061 Activation function/Activation function.ipynb | 71.6 KB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/062 Activation function/Activation function.ipynb | 71.6 KB |
| 06 Workshop_ Coding Artificial Neural Network from Scratch/063 Activation function/Activation function.ipynb | 71.6 KB |
| 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/001 Creating data sets on our own!!.mp4 | 156.6 MB |
| 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/002 Implementation of MLP classifier using scikit-learn.mp4 | 166.1 MB |
| 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/003 Evaluation of the model (Neural Network).mp4 | 61.4 MB |
| 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/004 Experimentation of hyper parameters.mp4 | 86.0 MB |
| 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/064 MLP workshop/MLP workshop.ipynb | 1.4 MB |
| 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/065 MLP workshop/MLP workshop.ipynb | 1.4 MB |
| 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/066 MLP workshop/MLP workshop.ipynb | 1.4 MB |
| 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/067 MLP workshop/MLP workshop.ipynb | 1.4 MB |
| 08 Explore more_ Computational Neural Network [advanced]/001 Introduction to feed forward and backward propagation in computational graph.mp4 | 132.8 MB |
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606.9 MB
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2024-12-19
| Uploaded by SunRiseZone | Size 606.9 MB | Health [ 17 /1 ] | Added 2024-12-19 |
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713.1 MB
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| Uploaded by tutsgalaxy | Size 713.1 MB | Health [ 13 /1 ] | Added 2023-06-02 |
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540.3 MB
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2023-06-02
| Uploaded by tutsgalaxy | Size 540.3 MB | Health [ 13 /3 ] | Added 2023-06-02 |
Name
DL
Uploader
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Added
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37.3 MB
[0
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2023-10-28
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1.1 MB
[41
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2025-10-13
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247.5 MB
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2023-06-02
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3.4 GB
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2023-06-01
NOTE
SOURCE: Udemy - Learn Artificial Neural Network From Scratch in Python
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