Download Udemy - Learn Artificial Neural Network From Scratch in Python Torrent

Torrent Contents Size: 5.9 GB

Udemy - Learn Artificial Neural Network From Scratch in Python

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001 Creating data sets on our own!!.mp4	MP4	156.6 MB
001 Data Types in Machine Learning.mp4	MP4	31.6 MB
001 Derivative of sigmoid function [must watch].mp4	MP4	69.5 MB
001 Download and setup Pycharm code editor on Windows.mp4	MP4	55.8 MB
001 Introduction to Artificial Intelligence.mp4	MP4	68.3 MB
001 Introduction to feed forward and backward propagation in computational graph.mp4	MP4	132.8 MB
001 Introduction.mp4	MP4	24.3 MB
001 Setting up environment and coding single neuron.mp4	MP4	68.8 MB
002 Coding neuron layer.mp4	MP4	94.6 MB
002 Data Preprocessing Part 1.mp4	MP4	229 MB
002 Download Visual Studio code editor on Windows (Optional).mp4	MP4	34.9 MB
002 Implementation of MLP classifier using scikit-learn.mp4	MP4	166.1 MB
002 Install anaconda on your machine.mp4	MP4	69.1 MB
002 Introduction to Neural Networks.mp4	MP4	116.4 MB
002 Introduction to the problem.mp4	MP4	45.3 MB
003 Data Preprocessing Part 2.mp4	MP4	155 MB
003 Download and setup Pycharm code editon on Linux.mp4	MP4	57.2 MB
003 Evaluation of the model (Neural Network).mp4	MP4	61.4 MB
003 Forward Propagation of Artificial Neural Network.mp4	MP4	128 MB
003 Inspiration and representation for Neural Network.mp4	MP4	77.1 MB
003 Set up environment and Download Machine Learning Libraries.mp4	MP4	80.5 MB
003 Using dot product to code neuron layer.mp4	MP4	49.1 MB
004 Coding dense layer [must know Object Oriented Programming].mp4	MP4	121.3 MB
004 Data Preprocessing Part 3.mp4	MP4	117.9 MB
004 Error in the problem.mp4	MP4	75.7 MB
004 Experimentation of hyper parameters.mp4	MP4	86 MB
004 History and Application of Neural Network.mp4	MP4	69.5 MB
004 How to read Python documentation.mp4	MP4	57.6 MB
004 Introduction to Jupyter Notebook.mp4	MP4	111.4 MB
005 Backpropagation in ANN.mp4	MP4	164.8 MB
005 Example of neural network.mp4	MP4	49.4 MB
005 Introduction to Activation Function.mp4	MP4	104.9 MB
005 Introduction to Artificial Intelligence and Machine Learning [lecture].mp4	MP4	110.5 MB
005 Introduction to numpy module.mp4	MP4	71.9 MB
005 Variables on Python.mp4	MP4	57.8 MB
006 Data Types_ String, Set and Numbers.mp4	MP4	86 MB
006 Implementation of activation function [step and sigmoid].mp4	MP4	69.3 MB
006 Introduction to pandas module.mp4	MP4	164.1 MB
006 Updating the weights [partial differentiation].mp4	MP4	92.5 MB
007 Data Types_ List, Dictionaty and Tuple.mp4	MP4	67.5 MB
007 Implementation of activation function [tanh and ReLu].mp4	MP4	62 MB
007 Introduction to partial differentiation.mp4	MP4	56.1 MB
007 Train and Test Splitting of Data.mp4	MP4	89.5 MB
008 Encoding Process in Machine Learning.mp4	MP4	68 MB
008 Introduction to the Activation Function.mp4	MP4	105.6 MB
008 Operators and Operands.mp4	MP4	104.4 MB
009 Introduction to overfit and underfit of model.mp4	MP4	141 MB
009 Logical Operators and Operations.mp4	MP4	53.1 MB
009 Why do we need bias in the program.mp4	MP4	44.8 MB
010 Comments and User Input.mp4	MP4	66 MB
010 Cross entropy of Logistic Regression.mp4	MP4	157.9 MB
010 Why we use regularization in the Neural Network.mp4	MP4	63.1 MB
011 Built-in Modules and Creating your own Modules.mp4	MP4	117.2 MB
011 Introduction to the gradient descent [review].mp4	MP4	60.5 MB
012 Introduction to Stochastic Gradient Descent and Adam Optimizer.mp4	MP4	78 MB
012 Python _List_ Data Structures.mp4	MP4	194.3 MB
013 Introduction to mini-batch SGD.mp4	MP4	16.2 MB
013 Python _Dictionary_ Data Structures.mp4	MP4	62.6 MB
014 Python Indentation.mp4	MP4	41.2 MB
015 Python Conditionals_ if...else statements.mp4	MP4	49.6 MB
016 Looping in Python_ while Loops.mp4	MP4	31.4 MB
017 Looping in Python_ for Loops.mp4	MP4	78.5 MB
018 User Defined Functions in Python.mp4	MP4	130.3 MB
019 Default Arguments in Python.mp4	MP4	33 MB
020 Classes and Objects in Python.mp4	MP4	276.7 MB
021 Basic Inheritance in Python.mp4	MP4	113.8 MB
022 Multiple Inheritance in Python.mp4	MP4	47.5 MB
023 __name__ == __main__.mp4	MP4	42.4 MB
038 Confusion Matrix for your Multi-Class ML Model.pdf	PDF	267.6 KB
052 A Step by Step Backpropagation.pdf	PDF	3.9 MB
053 A Step by Step Backpropagation.pdf	PDF	3.9 MB
054 A Step by Step Backpropagation.pdf	PDF	3.9 MB
056 A Step by Step Backpropagation.pdf	PDF	3.9 MB
Activation function.ipynb	IPYNB	71.6 KB
Artificial NN from scratch.ipynb	IPYNB	9.2 KB
Downloaded from 1337x.html	HTML	512 B
MLP workshop.ipynb	IPYNB	1.4 MB

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Udemy - Learn Artificial Neural Network From Scratch in Python

Torrent Contents Size: 5.9 GB

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