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2019 Oct
Introduction to Panoptic Segmentation: A Tutorial
2019 Sep
Evaluation metrics for object detection and segmentation: mAP
2019 Aug
Quick intro to Instance segmentation: Mask R-CNN
Quick intro to semantic segmentation: FCN, U-Net and DeepLab
Converting FC layers to CONV layers
2019 Jul
Two Years of Technical Fridays
2019 Apr
Introduction to Automatic Speech Recognition
Data augmentation
Generative Adversarial Networks variants: DCGAN, Pix2pix, CycleGAN
2019 Mar
Layer-specific learning rates
Quick intro to Object detection: R-CNN, YOLO, and SSD
Attention
2019 Feb
Backpropagation Through Time
Autoencoder: Downsampling and Upsampling
Weight initialization in neural nets
2019 Jan
Image captioning using encoder-decoder
The gradient problem in RNN
2018 Dec
Why Batch Normalization?
Filters in Convolutional Neural Networks
Loss vs Accuracy
2018 Oct
False positive paradox
2018 Sep
Generative models and Generative Adversarial Networks
Skip connections and Residual blocks
2018 Aug
Loss functions
Optimizers
Transfer learning: How to build accurate models
Methods of Hyperparameter optimization
2018 Jul
word2vec: The foundation of NLP
A Year of Fridays
Dynamic Programming
2018 Jun
The Bayesian Thinking - III
The Bayesian Thinking - II
The Bayesian Thinking - I
2018 May
A visual introduction to eigenvectors and eigenvalues
Dropout: Prevent overfitting
2018 Apr
How deep should neural nets be?
Don't use sigmoid: Neural Nets
The magic behind ConvNets
Smart India Hackathon 2018 grand finale
2018 Mar
Scaling vs Normalization
Ensembling is the key
Computational graphs: Backpropagation
Gradient descent: The core of neural networks
2018 Feb
Gradient boosted trees: Better than random forest?
Linear algebra: The essence behind deep learning
Data Mining: Knowledge discovery in databases
Anscombe's Quartet
2018 Jan
The Curse of Dimensionality
Dealing with categorical data
Regularization
Some Prime Thoughts
2017 Dec
Evaluation metrics for classification and False positives
Simplicity doesn't imply accuracy
p-Value
2017 Nov
Shortest Path: Dijkstra's Algorithm
Divide and Conquer
Greedy Algorithms
2017 Oct
Out-liars
Correlation is not causation
Overfitting and Underfitting
Data leakage: A big problem
2017 Sep
The Rule of 72: Mathematics in everyday life
Mathematics and Beauty
How secure are we?
Structure of the web
Simpson's paradox
2017 Aug
Email spam filtering: Text analysis in R
Friendship paradox: facebook
Turtle in Python: A Traffic light
Moneyball: Why no prediction can't be made for baseball champion
2017 Jul
Moneyball: How linear regression changed baseball
Technical Fridays
Site launch