PinnedFraidoon OmarzaiA Comprehensive Deep Learning Resources In DepthIn this article, you’ll find links to detailed explanations of deep learning, covering ANN, CNN, RNN, optimization methods, loss functions…Jul 26Jul 26
PinnedFraidoon Omarzai15 Most Commonly Used ML Algorithms (ML Resources) In-DepthIn this blog, you can find links to comprehensive explanations of 15 machine learning algorithms, including practical examples, use cases…Jul 21Jul 21
PinnedFraidoon OmarzaiA Comprehensive Maths And Python Resources For ML And Data ScienceThis article includes links to the crucial math and Python content for data science and machine learning.Jul 191Jul 191
Fraidoon OmarzaiOpenCV In DepthOpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It contains more than…2d ago2d ago
Fraidoon OmarzaiObject Detection Techniques In DepthObject detection identifies a specific object in an image or video frame.4d ago4d ago
Fraidoon OmarzaiIntroduction To Computer Vision (CV) In DepthComputer Vision (CV) is a field of artificial intelligence (AI) that enables computers to interpret and make decisions based on visual…4d ago4d ago
Fraidoon OmarzaiDL Models Used In NLP (CNN, RNNs, Seq-to-Seq, Transformers) In DepthDeep learning models have revolutionized Natural Language Processing (NLP) by enabling significant advancements in tasks such as machine…5d ago5d ago
Fraidoon OmarzaiTransformers (Attention Is All You Need) In DepthTransformers, in the context of machine learning and artificial intelligence, refer to a type of deep learning model architecture designed…5d ago5d ago
Fraidoon OmarzaiSeq2Seq (Encoder/Decoder) And Attention Mechanism In DepthSequence-to-sequence (seq2seq) models are a type of neural network architecture used primarily for tasks where the input and output are…5d ago5d ago
Fraidoon OmarzaiWord2Vec (CBOW, Skip-gram) In DepthWord2Vec is an important model for natural language processing (NLP) developed by researchers at Google.5d ago5d ago