Name Learn Artificial Neural Network From Scratch in Python

File Type video

Size 5.91GB

UpdateDate 2024-11-15

hash *****45E3388027E8F2A6DE003AB3891AE5CB0A

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Files 02 Optional but Recommended [Learn Python in Easy Way]/020 Classes and Objects in Python.mp4 | 276.69MB 01 Introduction/001 Introduction.mp4 | 24.27MB 01 Introduction/002 Install anaconda on your machine.mp4 | 69.08MB 01 Introduction/003 Set up environment and Download Machine Learning Libraries.mp4 | 80.51MB 01 Introduction/004 Introduction to Jupyter Notebook.mp4 | 111.41MB 01 Introduction/005 Introduction to Artificial Intelligence and Machine Learning [lecture].mp4 | 110.50MB 02 Optional but Recommended [Learn Python in Easy Way]/001 Download and setup Pycharm code editor on Windows.mp4 | 55.76MB 02 Optional but Recommended [Learn Python in Easy Way]/002 Download Visual Studio code editor on Windows (Optional).mp4 | 34.88MB 02 Optional but Recommended [Learn Python in Easy Way]/003 Download and setup Pycharm code editon on Linux.mp4 | 57.24MB 02 Optional but Recommended [Learn Python in Easy Way]/004 How to read Python documentation.mp4 | 57.57MB 02 Optional but Recommended [Learn Python in Easy Way]/005 Variables on Python.mp4 | 57.83MB 02 Optional but Recommended [Learn Python in Easy Way]/006 Data Types_ String, Set and Numbers.mp4 | 86.04MB 02 Optional but Recommended [Learn Python in Easy Way]/007 Data Types_ List, Dictionaty and Tuple.mp4 | 67.53MB 02 Optional but Recommended [Learn Python in Easy Way]/008 Operators and Operands.mp4 | 104.45MB 02 Optional but Recommended [Learn Python in Easy Way]/009 Logical Operators and Operations.mp4 | 53.06MB 02 Optional but Recommended [Learn Python in Easy Way]/010 Comments and User Input.mp4 | 66.04MB 02 Optional but Recommended [Learn Python in Easy Way]/011 Built-in Modules and Creating your own Modules.mp4 | 117.16MB 02 Optional but Recommended [Learn Python in Easy Way]/012 Python _List_ Data Structures.mp4 | 194.26MB 02 Optional but Recommended [Learn Python in Easy Way]/013 Python _Dictionary_ Data Structures.mp4 | 62.57MB 02 Optional but Recommended [Learn Python in Easy Way]/014 Python Indentation.mp4 | 41.15MB 02 Optional but Recommended [Learn Python in Easy Way]/015 Python Conditionals_ if...else statements.mp4 | 49.58MB 02 Optional but Recommended [Learn Python in Easy Way]/016 Looping in Python_ while Loops.mp4 | 31.40MB 02 Optional but Recommended [Learn Python in Easy Way]/017 Looping in Python_ for Loops.mp4 | 78.55MB 02 Optional but Recommended [Learn Python in Easy Way]/018 User Defined Functions in Python.mp4 | 130.34MB 02 Optional but Recommended [Learn Python in Easy Way]/019 Default Arguments in Python.mp4 | 33.04MB Downloaded from 1337x.html | 543B 02 Optional but Recommended [Learn Python in Easy Way]/021 Basic Inheritance in Python.mp4 | 113.84MB 02 Optional but Recommended [Learn Python in Easy Way]/022 Multiple Inheritance in Python.mp4 | 47.46MB 02 Optional but Recommended [Learn Python in Easy Way]/023 __name__ == __main__.mp4 | 42.43MB 03 Prerequisite_ ML libraries for data preprocessing/001 Data Types in Machine Learning.mp4 | 31.60MB 03 Prerequisite_ ML libraries for data preprocessing/002 Data Preprocessing Part 1.mp4 | 229.04MB 03 Prerequisite_ ML libraries for data preprocessing/003 Data Preprocessing Part 2.mp4 | 154.97MB 03 Prerequisite_ ML libraries for data preprocessing/004 Data Preprocessing Part 3.mp4 | 117.85MB 03 Prerequisite_ ML libraries for data preprocessing/005 Introduction to numpy module.mp4 | 71.94MB 03 Prerequisite_ ML libraries for data preprocessing/006 Introduction to pandas module.mp4 | 164.14MB 03 Prerequisite_ ML libraries for data preprocessing/007 Train and Test Splitting of Data.mp4 | 89.48MB 03 Prerequisite_ ML libraries for data preprocessing/008 Encoding Process in Machine Learning.mp4 | 68.02MB 03 Prerequisite_ ML libraries for data preprocessing/009 Introduction to overfit and underfit of model.mp4 | 141.02MB 03 Prerequisite_ ML libraries for data preprocessing/010 Cross entropy of Logistic Regression.mp4 | 157.88MB 03 Prerequisite_ ML libraries for data preprocessing/038 Confusion Matrix for your Multi-Class ML Model.pdf | 267.59KB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/001 Introduction to Artificial Intelligence.mp4 | 68.29MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/002 Introduction to Neural Networks.mp4 | 116.39MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/003 Inspiration and representation for Neural Network.mp4 | 77.08MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/004 History and Application of Neural Network.mp4 | 69.51MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/005 Example of neural network.mp4 | 49.37MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/006 Updating the weights [partial differentiation].mp4 | 92.48MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/007 Introduction to partial differentiation.mp4 | 56.08MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/008 Introduction to the Activation Function.mp4 | 105.58MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/009 Why do we need bias in the program.mp4 | 44.79MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/010 Why we use regularization in the Neural Network.mp4 | 63.10MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/011 Introduction to the gradient descent [review].mp4 | 60.52MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/012 Introduction to Stochastic Gradient Descent and Adam Optimizer.mp4 | 77.98MB 04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/013 Introduction to mini-batch SGD.mp4 | 16.20MB 05 Tutorial_ Numerical on Backpropagation/001 Derivative of sigmoid function [must watch].mp4 | 69.53MB 05 Tutorial_ Numerical on Backpropagation/002 Introduction to the problem.mp4 | 45.30MB 05 Tutorial_ Numerical on Backpropagation/003 Forward Propagation of Artificial Neural Network.mp4 | 127.96MB 05 Tutorial_ Numerical on Backpropagation/004 Error in the problem.mp4 | 75.73MB 05 Tutorial_ Numerical on Backpropagation/005 Backpropagation in ANN.mp4 | 164.81MB 05 Tutorial_ Numerical on Backpropagation/052 A Step by Step Backpropagation.pdf | 3.86MB 05 Tutorial_ Numerical on Backpropagation/053 A Step by Step Backpropagation.pdf | 3.86MB 05 Tutorial_ Numerical on Backpropagation/054 A Step by Step Backpropagation.pdf | 3.86MB 05 Tutorial_ Numerical on Backpropagation/056 A Step by Step Backpropagation.pdf | 3.86MB 06 Workshop_ Coding Artificial Neural Network from Scratch/001 Setting up environment and coding single neuron.mp4 | 68.80MB 06 Workshop_ Coding Artificial Neural Network from Scratch/002 Coding neuron layer.mp4 | 94.62MB 06 Workshop_ Coding Artificial Neural Network from Scratch/003 Using dot product to code neuron layer.mp4 | 49.09MB 06 Workshop_ Coding Artificial Neural Network from Scratch/004 Coding dense layer [must know Object Oriented Programming].mp4 | 121.30MB 06 Workshop_ Coding Artificial Neural Network from Scratch/005 Introduction to Activation Function.mp4 | 104.95MB 06 Workshop_ Coding Artificial Neural Network from Scratch/006 Implementation of activation function [step and sigmoid].mp4 | 69.30MB 06 Workshop_ Coding Artificial Neural Network from Scratch/007 Implementation of activation function [tanh and ReLu].mp4 | 62.05MB 06 Workshop_ Coding Artificial Neural Network from Scratch/057 Artificial NN from scratch/Artificial NN from scratch.ipynb | 9.22KB 06 Workshop_ Coding Artificial Neural Network from Scratch/058 Artificial NN from scratch/Artificial NN from scratch.ipynb | 9.22KB 06 Workshop_ Coding Artificial Neural Network from Scratch/059 Artificial NN from scratch/Artificial NN from scratch.ipynb | 9.22KB 06 Workshop_ Coding Artificial Neural Network from Scratch/061 Activation function/Activation function.ipynb | 71.64KB 06 Workshop_ Coding Artificial Neural Network from Scratch/062 Activation function/Activation function.ipynb | 71.64KB 06 Workshop_ Coding Artificial Neural Network from Scratch/063 Activation function/Activation function.ipynb | 71.64KB 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/001 Creating data sets on our own!!.mp4 | 156.63MB 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/002 Implementation of MLP classifier using scikit-learn.mp4 | 166.09MB 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/003 Evaluation of the model (Neural Network).mp4 | 61.42MB 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/004 Experimentation of hyper parameters.mp4 | 85.95MB 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/064 MLP workshop/MLP workshop.ipynb | 1.43MB 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/065 MLP workshop/MLP workshop.ipynb | 1.43MB 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/066 MLP workshop/MLP workshop.ipynb | 1.43MB 07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/067 MLP workshop/MLP workshop.ipynb | 1.43MB 08 Explore more_ Computational Neural Network [advanced]/001 Introduction to feed forward and backward propagation in computational graph.mp4 | 132.76MB