WHAT IS A TENSOR?

Michel Van Biezen give a simple video explanation of what is a scalar, vector, dyad, Triad. They are all essentially Rank 0, 1, 2 and 3 Tensors.

Einstein's Field Equation (3 for x,y,z axes for space and another one for time) is essentially is a Rank 4 Tensor.

In matrices representation you can see how a Rank 3 Tensor is drawn.

Can you draw the Einstein's Rank 4 (256 components) tensor now?

Detail here https://lnkd.in/g9yAGS2

#deeplearning #fundamentals #artificialintelligence #tensor #matrices

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What is the difference between SGD (Stochastic Gradient Descent) vs GD (Gradient Descent)?

We keep revisiting fundamentals every now and then and we encourage you to do the same.

Get the notebook here (but do please practice it yourself): https://lnkd.in/exAeCpB

#DeepLearning #fundamentals #MachineLearning

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How to Design a Neural Network for Image Classification

Here is a simple illustration of what a shallow and deep neural network looks like.

#DeepLearning #Fundamentals #neuralnetworks #design

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Here are the COMPLETE Lecture notes on Professor Andrew Ng's


Stanford Machine Learning Lecture: https://lnkd.in/gR5sRHg

#lecturing #machinelearning #beginner #artificialintellegence #fundamentals #artificailintelligence #neuralnetwork #repository #datascientists #computervision #neuralnetworks

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