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…2d ago2d ago
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 OmarzaiA comprehensive TensorFlow And PyTorch ResourcesIn this blog post, I am sharing resources to achieve proficiency in TensorFlow and PyTorch, the most commonly used frameworks in deep…2d ago2d ago
Fraidoon OmarzaiBidirectional RNN In DepthA Bidirectional Recurrent Neural Network (BRNN) is a type of Recurrent Neural Network (RNN) that is designed to improve the performance of…2d ago2d ago
Fraidoon OmarzaiLSTM And GRU In DepthLong Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) are used to handle longer and more complex stories without forgetting the…2d ago2d ago
Fraidoon OmarzaiRecurrent Neural Networks (RNNs) In DepthRecurrent Neural Networks (RNNs) are a class of artificial neural networks designed to recognize patterns in sequences of data, such as…2d ago2d ago
Fraidoon OmarzaiCommon CNN Architectures In DepthLearn almost everything about the most common CNN architectures.2d ago2d ago
Fraidoon OmarzaiConvolutional Neural Networks (CNNs) In DepthConvolutional Neural Networks (CNNs), also called ConvNets, are a type of artificial neural network that excels at processing data with a…3d ago3d ago
Fraidoon OmarzaiOverfitting And Underfitting: Regularization(L1 & L2), Drop Out, Early Stopping, And Data…Underfitting (High Bias)5d ago5d ago