In the name of of Allah the Merciful
Praise be to God, and blessings and peace be upon the Messenger of God, Muhammad, and upon his family and his family and peace, and after:
The honor of every knowledge of honor is related to it, and since the science of interpretation is related to the Book of God Almighty; it is considered one of the most noble and longest of sciences, and this science began long ago as the early ages of Islam have expanded the Islamic state, and people entered the religion of God in cohorts, and the mixture mixed In tongues, and people did not know much about the meanings of the Qur’an, so the need for authorship in this great knowledge was severe, and perhaps one of the first to write about the meanings of the Qur’an (Abu Ubaidah) in his book (The Metaphor of the Qur’an), Abu Ubaidah was influenced by his specialization in Arabic science, which made it the feature Notable for his book.
I found that many researchers took up this book with study from the linguistic, grammatical, and morphological fields, but I did not find anyone who talked about the explanatory aspects in it, hence the idea to write this research which deals with (Abu Ubaidah's interpretative approach in the metaphor of the Qur’an).
I have dealt with this book by reading, to determine the features of the approach taken by Abu Ubaida in it and which I will mention in the folds of the research plan shortly, and I took it upon myself to demonstrate what I decided for him by hitting some examples from his book to explain this and then compare it with other specialists, to see the extent of his approval Or his contradiction with them, knowing that the difference between him and those who joined him was that he wrote his book before the features of the interpreters' curricula became clear, and before specific rules were set for them.
The research was divided into an introduction, and three sections: I dedicated the first topic: to talk about the life and knowledge of Abu Ubaidah, and the second topic: on the approach of Abu Ubaidah in the interpretation of the dictum, and there are four requirements: the first demand: in the interpretation of the Qur’an in the Qur’an, and the second requirement in the interpretation of the Qur’an in the Sunnah And the third requirement: in the interpretation of the Qur’an with the sayings of the companions, the followers, and the fourth requirement on: the interpretation of the Qur’an with the reasons for descent, and the third topic: in the interpretation of Abu Ubaidah the Qur’an with an opinion, and it has five requirements: the first requirement: the interpretation of the Qur’an in the language, and the second requirement: the interpretation of the Qur’an with dependence as , And the third requirement: the interpretation of the Qur’an relying on a For Arab poetry, and the fourth requirement: Interpretation of the Qur’an by multiplying proverbs, and then concluded the research with the most important findings.
I have referred in that to the mothers of the books in the interpretation, language, hadith, translations, and others, and if I was injured, then God is the best and has the grace. To God, Lord of the worlds.
Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class
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Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class
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The research reached several conclusions, including:
1- Public relations seek to increase workers’ confidence in senior management and motivate them to improve their production, as well as their relentless endeavor to bring workers closer by following multiple and varied forms of communication with them.
2- The results of the study showed that there was a negative i
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