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Learn Artificial Neural Network From Scratch in Python
magnet:?xt=urn:btih:e6fa945e3388027e8f2a6de003ab3891ae5cb0a4&dn=Learn Artificial Neural Network From Scratch in Python
磁力链接详情
Hash值:
e6fa945e3388027e8f2a6de003ab3891ae5cb0a4
点击数:
188
文件大小:
5.89 GB
文件数量:
68
创建日期:
2021-10-27 03:51
最后访问:
2024-7-4 12:33
访问标签:
Learn
Artificial
Neural
Network
From
Scratch
in
Python
文件列表详情
02 Optional but Recommended [Learn Python in Easy Way]/020 Classes and Objects in Python.mp4 276.69 MB
01 Introduction/001 Introduction.mp4 24.27 MB
01 Introduction/002 Install anaconda on your machine.mp4 69.08 MB
01 Introduction/003 Set up environment and Download Machine Learning Libraries.mp4 80.51 MB
01 Introduction/004 Introduction to Jupyter Notebook.mp4 111.41 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 55.76 MB
02 Optional but Recommended [Learn Python in Easy Way]/002 Download Visual Studio code editor on Windows (Optional).mp4 34.88 MB
02 Optional but Recommended [Learn Python in Easy Way]/003 Download and setup Pycharm code editon on Linux.mp4 57.24 MB
02 Optional but Recommended [Learn Python in Easy Way]/004 How to read Python documentation.mp4 57.57 MB
02 Optional but Recommended [Learn Python in Easy Way]/005 Variables on Python.mp4 57.83 MB
02 Optional but Recommended [Learn Python in Easy Way]/006 Data Types_ String, Set and Numbers.mp4 86.04 MB
02 Optional but Recommended [Learn Python in Easy Way]/007 Data Types_ List, Dictionaty and Tuple.mp4 67.53 MB
02 Optional but Recommended [Learn Python in Easy Way]/008 Operators and Operands.mp4 104.45 MB
02 Optional but Recommended [Learn Python in Easy Way]/009 Logical Operators and Operations.mp4 53.06 MB
02 Optional but Recommended [Learn Python in Easy Way]/010 Comments and User Input.mp4 66.04 MB
02 Optional but Recommended [Learn Python in Easy Way]/011 Built-in Modules and Creating your own Modules.mp4 117.16 MB
02 Optional but Recommended [Learn Python in Easy Way]/012 Python _List_ Data Structures.mp4 194.26 MB
02 Optional but Recommended [Learn Python in Easy Way]/013 Python _Dictionary_ Data Structures.mp4 62.57 MB
02 Optional but Recommended [Learn Python in Easy Way]/014 Python Indentation.mp4 41.15 MB
02 Optional but Recommended [Learn Python in Easy Way]/015 Python Conditionals_ if...else statements.mp4 49.58 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 78.55 MB
02 Optional but Recommended [Learn Python in Easy Way]/018 User Defined Functions in Python.mp4 130.34 MB
02 Optional but Recommended [Learn Python in Easy Way]/019 Default Arguments in Python.mp4 33.04 MB
02 Optional but Recommended [Learn Python in Easy Way]/021 Basic Inheritance in Python.mp4 113.84 MB
02 Optional but Recommended [Learn Python in Easy Way]/022 Multiple Inheritance in Python.mp4 47.46 MB
02 Optional but Recommended [Learn Python in Easy Way]/023 __name__ == __main__.mp4 42.43 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 229.04 MB
03 Prerequisite_ ML libraries for data preprocessing/003 Data Preprocessing Part 2.mp4 154.97 MB
03 Prerequisite_ ML libraries for data preprocessing/004 Data Preprocessing Part 3.mp4 117.85 MB
03 Prerequisite_ ML libraries for data preprocessing/005 Introduction to numpy module.mp4 71.94 MB
03 Prerequisite_ ML libraries for data preprocessing/006 Introduction to pandas module.mp4 164.14 MB
03 Prerequisite_ ML libraries for data preprocessing/007 Train and Test Splitting of Data.mp4 89.48 MB
03 Prerequisite_ ML libraries for data preprocessing/008 Encoding Process in Machine Learning.mp4 68.02 MB
03 Prerequisite_ ML libraries for data preprocessing/009 Introduction to overfit and underfit of model.mp4 141.02 MB
03 Prerequisite_ ML libraries for data preprocessing/010 Cross entropy of Logistic Regression.mp4 157.88 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/001 Introduction to Artificial Intelligence.mp4 68.29 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/002 Introduction to Neural Networks.mp4 116.39 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/003 Inspiration and representation for Neural Network.mp4 77.08 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/004 History and Application of Neural Network.mp4 69.51 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/005 Example of neural network.mp4 49.37 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/006 Updating the weights [partial differentiation].mp4 92.48 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/007 Introduction to partial differentiation.mp4 56.08 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/008 Introduction to the Activation Function.mp4 105.58 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/009 Why do we need bias in the program.mp4 44.79 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 60.52 MB
04 Lecture_ Introduction to neural networks --Mandatory (Don't miss out)/012 Introduction to Stochastic Gradient Descent and Adam Optimizer.mp4 77.98 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 69.53 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 127.96 MB
05 Tutorial_ Numerical on Backpropagation/004 Error in the problem.mp4 75.73 MB
05 Tutorial_ Numerical on Backpropagation/005 Backpropagation in ANN.mp4 164.81 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 94.62 MB
06 Workshop_ Coding Artificial Neural Network from Scratch/003 Using dot product to code neuron layer.mp4 49.09 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 104.95 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 62.05 MB
07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/001 Creating data sets on our own!!.mp4 156.63 MB
07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/002 Implementation of MLP classifier using scikit-learn.mp4 166.09 MB
07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/003 Evaluation of the model (Neural Network).mp4 61.42 MB
07 Workshop_ Coding Multi Layer Perception (MLP) Classifier/004 Experimentation of hyper parameters.mp4 85.95 MB
08 Explore more_ Computational Neural Network [advanced]/001 Introduction to feed forward and backward propagation in computational graph.mp4 132.76 MB
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