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GPT Architecture | How to create ChatGPT from Scratch?
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BERT Demystified: Like I’m Explaining It to My Younger Self
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Decoder Architecture in Transformers | Step-by-Step from Scratch
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Encoder Architecture in Transformers | Step by Step Guide
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How Residual Connections in Transformers stabilize its training?
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Simplest explanation of Layer Normalization in Transformers
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Positional Encoding in Transformers | Deep Learning
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Master Multi-headed attention in Transformers | Part 6
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Linear Transformation in Self Attention | Transformers in Deep Learning | Part 3
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Self Attention in Transformers | Transformers in Deep Learning
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Transformers in Deep Learning | Introduction to Transformers
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Bidirectional RNN | Deep Learning | In-depth Explanation & Equations
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Gated Recurrent Unit | GRU | Explained in detail
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Deep Neural Network Python from scratch | L layer Model | No Tensorflow
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Facial Landmark Detection | OpenCV | Python | Mediapipe
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Emoji Prediction | LSTM in Tensorflow | Implementation
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Part 2 | Python | Training Word Embeddings | Word2Vec |
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Part 1 | Training Word Embeddings | Word2Vec
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Word Embedding Python | RNN | Detailed Explanation
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LSTM Recurrent Neural Network (RNN) | Explained in Detail
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Backpropagation in RNN | Backpropagation through time
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RNN Model Details | Recurrent Neural Networks | Deep Learning
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Types of Recurrent Neural Networks (RNNs)
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What is Recurrent Neural Network in Deep Learning? | RNN
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Image Classification using CNN Keras | Full implementation
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Backpropagation in CNN - PART 2
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Backpropagation in CNN - Part 1
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Fully Connected Layer in CNN
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Max Pooling in Convolutional Neural Network
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Stride in Convolutional Neural Network (CNN)
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Padding in Convolutional Neural Network
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Convolution Operation in CNN
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What is CNN in deep learning? Convolutional Neural Network Explained
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Optimization in Deep Learning | All Major Optimizers Explained in Detail
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Adam Optimizer Explained in Detail | Deep Learning
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RMSprop Optimizer Explained in Detail | Deep Learning
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Momentum Optimizer in Deep Learning | Explained in Detail
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Exponentially Weighted Moving Average or Exponential Weighted Average | Deep Learning
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Mini Batch Gradient Descent | Deep Learning | with Stochastic Gradient Descent
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Dropout in Neural Network | Detailed Explanation with implementation in Python from Scratch
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L2 Regularization neural network in Python from Scratch | Explanation with Implementation
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Regularization in Deep Learning | How it solves Overfitting ?
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Overfitting and Underfitting in Machine Learning | Understanding Bias and Variance
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Neural Network python from scratch | MultiClass Classification with Softmax
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Backpropagation for Softmax and Multi-Class Classification | Complete Mathematical Derivation
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Derivation of Backpropagation in Neural Network
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How Neural Networks work in Machine Learning ? Understanding what is Neural Networks
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Supervised Learning Example | Explaining Supervised Learning with Example
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Logistic Regression in Python from Scratch | Simply Explained
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3 Reasons Machine Learning is Difficult !
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Logistic Regression Gradient Descent | Derivation | Machine Learning
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Derivative of Cost function for Logistic Regression | Machine Learning
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Logistic Regression Machine Learning Example | Simply Explained
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Linear Regression in Python from Scratch | Simply Explained
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Complete | What is Linear Regression Machine Learning ?
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Linear Regression Cost Function | Machine Learning | Explained Simply
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What is Linear Regression in Machine Learning ? Understand with Examples !
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