Remove updates-january-2023
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phData Toolkit January 2023 Update

phData

phData had an amazing 2022 and we are looking forward to what additional value we can drive for our customers in 2023. Let’s take a look at what’s new this month: SQL Translation SQLMorph, our SQL translation tool, has seen several updates. Parse the UPDATE statement with the table_hint clause.

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Manipulating Tensors in PyTorch

Machine Learning Mastery

Last Updated on January 23, 2023 PyTorch is a deep learning library. Just like some other deep learning libraries, it applies operations on numerical arrays called **tensors**. In the simplest terms, tensors are just multidimensional arrays.

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Building Multilayer Perceptron Models in PyTorch

Machine Learning Mastery

Last Updated on January 27, 2023 The PyTorch library is for deep learning. Deep learning, indeed, is just another name for a large scale neural network or multilayer perceptron network. In its simplest form, multilayer perceptrons are a sequence of layers connected in tandem.

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Building an Image Classifier with a Single-Layer Neural Network in PyTorch

Machine Learning Mastery

Last Updated on January 18, 2023 A single-layer neural network, also known as a single-layer perceptron, is the simplest type of neural network. It consists of only one layer of neurons, which are connected to the input layer and the output layer.

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Using Autograd in PyTorch to Solve a Regression Problem

Machine Learning Mastery

Last Updated on January 24, 2023 We usually use PyTorch to build a neural network. However, PyTorch can do more than this. Because PyTorch is also a tensor library with automatic differentiation capability, you can easily use it to solve a numerical optimization problem with gradient descent.

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Neural Network with More Hidden Neurons

Machine Learning Mastery

Last Updated on January 10, 2023 The traditional model of neural network is called multilayer perceptrons. They are usually made up of a series of interconnected layers. The input layer is where the data enters the network, and the output layer is where the network delivers the output.

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Building a Single Layer Neural Network in PyTorch

Machine Learning Mastery

Last Updated on January 10, 2023 A neural network is a set of neuron nodes that are interconnected with one another. The neurons are not just connected to their adjacent neurons but also to the ones that are farther away.