Muhammad Azizul Hakim
In order to solve complicated issues, deep learning algorithms need enormous volumes of data and computational power. They can operate with nearly any form of data. The Long-Short-Term Memory Networks (LSTM), one of the most…… – Details…
2 months ago in #long-short-term memory networks, #lstm, advanced python, Code, deep learning, IDE, Intermediate python, keras, Machine Learning, matplotlib, neural networks, numpy, pandas, programming, PyScripter, Python, python gui, recurrent neural networks, rnn, scikit-learn, tensorflow, windows
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Muhammad Azizul Hakim
Deep learning algorithms can work with almost any type of data and require massive amounts of computing power and data to solve complex problems. Let us now take a deep dive into one of the…… – Details…
4 months ago in advanced python, Code, deep learning, IDE, Intermediate python, keras, Machine Learning, matplotlib, neural networks, numpy, pandas, programming, PyScripter, Python, python gui, recurrent neural networks, rnn, scikit-learn, tensorflow, windows
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Muhammad Azizul Hakim
Deep learning algorithms work with almost any kind of data and require large amounts of computing power and information to solve complicated issues. Now, let us, deep-dive, into one of the most famous deep learning…… – Details…
6 months ago in advanced python, cnn, Code, convolutional neural networks, deep learning, IDE, Intermediate python, keras, Machine Learning, matplotlib, neural networks, numpy, programming, PyScripter, Python, python gui, scikit-learn, tensorflow, windows
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Ehsanul
The line graph is very useful for visualizing continuously changing data. It helps you to compare how several things change over the years relative to each other. Hence, you can easily uncover key insights from…… – Details…
1 year ago in data visualization, data visualization tools, data visualization tools in Python, line chart, line graph, matplotlib, numpy, programming, PyScripter, Python
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Muhammad Azizul Hakim
What does image processing mean? According to Gonzalez and Rafael in 2018, Image Processing or Digital Image Processing refers to processing digital images using a digital computer. Note that a digital image is composed of… – Details…
2 years ago in Clustering, Code, Color Quantization, computer vision, deep learning, Delphi, Image processing, K-Means, Mahotas, matplotlib, numpy, Pillow, Python, python gui, Python4Dephi, RAD Studio, scikit-image, scikit-learn, Skeletonize
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Muhammad Azizul Hakim
What is Scientific Computing? According to Golub and Ortega in 1992, Scientific Computing is the collection of tools, techniques, and theories required to solve mathematical models of problems in Science and Engineering. A majority of… – Details…
2 years ago in Array Computation, Calculus, Cirq, Code, Delphi, Machine Learning, Mathematics, Multidimensional Array Computation, Numerical Computation, numpy, Predictive Data Analysis, Programming Quantum Computers, Python, python gui, Python4Dephi, RAD Studio, scientific computing, scikit-learn, scipy, SymPy, theano
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Muhammad Azizul Hakim
If you need a Python-based ecosystem of open-source software for mathematics, science, and engineering, then Python’s SciPy (pronounced “Sigh Pie”) library is exactly what you need. You can easily run this library and give it…… – Details…
2 years ago in cbuilder, curve fitting, Delphi, delphi vcl, GuiProgramming, Learn Python, mathematical optimization, numerical computing, numerical python, numpy, programming, Python, python gui, python4delphi, scientific computing, scipy, windows, windows app
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Muhammad Azizul Hakim
If you need to perform complex transformations or mathematical calculations with matrices or arrays, then Python’s Numpy library is exactly what you need. You can easily run this library and give it a nice GUI…… – Details…
3 years ago in Array, cbuilder, Delphi, delphi vcl, GuiProgramming, Learn Python, numerical computing, numerical python, numpy, programming, Python, python gui, python4delphi, scientific computing, windows, windows app
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