Blogs
Welcome to my blogs site. Here I will share my learning about various topics.
Stay tuned!
Browse by Tag
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10. NLP: Mixture of Experts (MOE)
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9. NLP: Optimizing Attention
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8. NLP: BERT
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7. NLP: Transformer Implementation
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6. NLP: Transformer
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5. NLP: Attention
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4. NLP: Seq2Seq
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3. NLP: Pytorch for NLP
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2. NLP: Long Short Term Memory [LSTM] & Gated Recurrent Unit [GRU]
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1. NLP: Recurrent Neural Networks [RNN]
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8. Computer Vision: Neural Style Transfer
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7. Computer Vision: Instance Segmentation
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6. Computer Vision: Object Detection
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5. Computer Vision: Semantic Segmentation
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4. Computer Vision: Fine Tuning Models
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3. Computer Vision: Transfer Learning
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2. Computer Vision: Pre trained Models
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1. Computer Vision: Architecture
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4. OpenCV: Image Enhancement
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3. OpenCV: Image Annotation
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6. Neural Nets: Regularization and Normalization
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5. Neural Nets: Implementing MLP using PyTorch
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2. Neural Nets: Preprocessing data
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4. Neural Nets: Loss and Optmization
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3. Neural Nets: Activation Functions
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1. Neural Nets: Overview
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2. OpenCV: Basic Image Manipulation
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1. OpenCV: Images
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NLP Hugging Face
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Kaggle tips
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Shell Notes