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Please ensure that any post tagged with #deeplearning is primarily on deep learning while generally can be on machine learning, data science, AI, CS, etc.

Please also be sure that your content adheres to the DEV Code of Conduct and that your comments are constructive and kind.

Conventional machine learning techniques are limited in their ability to automatically transform the raw unstructured data into a suitable internal representation. Deep learning methods are representation learning methods with multiple levels of representation, obtained by composing several simple but non-linear modules that each transform the representation at one level (starting with the raw input) into a representation at a higher, slightly more abstract level - to put it simply - Neural Networks. With the composition of enough such transformations, very complex functions can be learned - a universal approximator.
If you want to share something primarily on deep learning techniques please use #deeplearning tag.

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Syed Abdul Hanan for Logit Solutions AI

Nov 1

Why train on a few examples at a time?

#ai #machinelearning #deeplearning #beginners

5 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

How does PyTorch find every gradient by itself?

#ai #machinelearning #deeplearning #beginners

5 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

Who's to blame when a network gets it wrong?

#ai #machinelearning #deeplearning #beginners

6 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

How does one nudge ripple through ten layers?

#ai #machinelearning #deeplearning #beginners

5 min read

Syed Abdul Hanan for Logit Solutions AI

Nov 1

Too big, it explodes. Too small, it crawls.

#ai #machinelearning #deeplearning #beginners

5 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

This is what a confident mistake looks like

#ai #machinelearning #deeplearning #beginners

4 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

How does a network know it's wrong?

#ai #machinelearning #deeplearning #beginners

3 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

How do raw scores become probabilities?

#ai #machinelearning #deeplearning #beginners

3 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

Without one bend, 100 layers act like one

#ai #machinelearning #deeplearning #beginners

3 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

How do hidden layers bend a straight line?

#ai #machinelearning #deeplearning #beginners

3 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

Why can't one neuron learn XOR?

#ai #machinelearning #deeplearning #beginners

4 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

The perceptron: the 1958 machine that learned from its mistakes

#ai #machinelearning #deeplearning #beginners

4 min read

Syed Abdul Hanan for Logit Solutions AI

Oct 31

How does a computer know this is a 3?

#ai #machinelearning #deeplearning #beginners

4 min read

Umesh Tharuka Malaviarachchi

Oct 31

Neural Ordinary Differential Equations: Why Depth Can Be a Continuous Variable

#machinelearning #datascience #ai #deeplearning

8 min read

Umesh Tharuka Malaviarachchi

Oct 31

Sparse Autoencoders: Why Forcing Sparsity Makes Neural Features Interpretable

#machinelearning #datascience #ai #deeplearning

8 min read

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