Muhammad Azizul Hakim
Deep learning algorithms work with almost any kind of data and require large amounts of computation power and information to solve complicated issues. Now, let us, deep-dive, into one of the most powerful deep learning…… … Read more
4 months ago in advanced python, AI, artificial intelligence, Code, deep learning, IDE, Intermediate python, Machine Learning, neural networks, neural networks architecture, programming, Projects, PyScripter, Python, radial basis function networks, rbfn, 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…… … Read more
8 months ago in advanced python, Code, deep learning, gan, generative adversarial networks, generative ai, IDE, Intermediate python, Machine Learning, programming, Projects, PyScripter, Python, windows
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Muhammad Azizul Hakim
To address intricate problems, extensive amounts of data and substantial computational capabilities are essential for the functioning of deep learning algorithms. These algorithms are versatile in handling various types of data. This article will delve into…… … Read more
1 year ago in #long-short-term memory networks, #lstm, advanced python, Code, deep learning, IDE, Intermediate python, Machine Learning, programming, Projects, PyScripter, Python, transformer architecture, windows
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Emad
Today, the marvels of Artificial Intelligence (AI) are transforming the landscape of various classification tasks. From identifying objects in images to categorizing data in complex datasets, AI has become a driving force in solving numerous…… … Read more
1 year ago in AI, Code, Delphi, DelphiFMX, image classification, Image processing, Learn Python, Machine Learning, ML, programming, Projects, Python, python gui
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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…… … Read more
1 year 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…… … Read more
1 year 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
0
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…… … Read more
2 years 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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Milton Coyne
A few months ago, Jim Mckeeth and Yilmaz Yoru discussed the rapid evolution of technology and how Machine Learning and Artificial Intelligence are shaping the future. Those that are once a concept are now being… … Read more
2 years ago in artificial intelligence, Coding, data, Delphi, Learn, learn delphi, Machine Learning, object pascal, programming, Videos
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Muhammad Azizul Hakim
Machine Learning is one of the hottest software development topics right now. The algorithms and techniques which enable machine learning have begun to really mature and have graduated from ‘interesting ideas’ into providing genuine power… … Read more
2 years ago in AI, ai on Windows apps, algorithms, artificial intelligence, Clustering, Code, data science, Delphi, learn delphi, Learn Python, Machine Learning, programming, PyScripter, Python, python4delphi, RAD Studio, scientific computation, scikit-learn, ScikitLearn4d, TPythonEngine, TPythonGUIInputOutput, TPythonModule, TPythontype, TPythonVersions, unsupervised learning, unsupervised machine learning, windows, windows app
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Muhammad Azizul Hakim
Did you know it’s easy to make use of some truly excellent Python libraries to super-charge your Delphi app development on Windows? Adding Python to your toolbox of Delphi code can enhance your app development,… … Read more
3 years ago in AI, Code, data science, deep learning, Delphi, Development On Windows, image classification, learn delphi, Learn Python, Machine Learning, matplotlib, matplotlib4d, programming, PyScripter, python4delphi, RAD Studio, resnet34, scientific computation, TPythonEngine, TPythonGUIInputOutput, TPythonModule, TPythontype, TPythonVersions, windows, windows app
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Muhammad Azizul Hakim
Reducing code runtime is important for developers. Python Profilers, like cProfile, help us to find which part of the program or code takes more time to run. Whether you are using a Python GUI or…… … Read more
3 years ago in Code, code profiling, data collection, data mining, Learn Python, Machine Learning, machine learning algorithm, programming, PyScripter, Python, python gui, python profiling tools, Quality Assurance, scikit-learn, testing, windows, windows app
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Muhammad Azizul Hakim
Are you looking for an easy yet powerful way to solve Time Series problems and build a nice GUI for them? You can deliver complete Statistical And Time Series Analysis easily by combining statsmodels and…… … Read more
3 years ago in cbuilder, data analysis, data science, Delphi, GuiProgramming, Learn Python, Machine Learning, predictive analysis, programming, Python, python gui, Python4Dephi, R, RAD Studio, scientific computing, statistical analysis, statistical learning, statistics, statsmodels, Time Series Analysis, windows, windows app
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Derek Johnson
There’s no denying the tumult, horrors and massive loss of life during World War II. But, as is often the case, from this environment of desperation and hardship sprang many technological advances. Alan Turing, helped… … Read more
3 years ago in AI, C++, cbuilder, Delphi, Machine Learning, News, programming, RAD Studio, whitepaper
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