Anuj shah

Bar Chart Race Tutorial with Covid-19 Dataset - Pt-2

Installing tensorflow (cpu) & keras on Windows

Creating a new Virtual Environment in Python through Anaconda Part-1

EfficientNet is one of the best model for image data.

3: Easy ways to improve code readability in Python

Part-2 Introduction to Self-Supervised Learning

Drawing Dynamic Bar in OpenCV

Installing and Uninstalling using pip and conda

Custom data generator in python for training different Deep Learning models Pt-1

7 Principles of Responsible AI defined by Google

Quick Introduction to AI and the development pipeline

2: Be careful while customizing pretrained pytorch model

Part-3 Contd. Quick overview of different self-supervised learning approaches.

AI assisted billing with image recognition at BigBasket.

Custom data generator for singe input (image classifier) | Custom data generator Pt-3

Custom data generator for video input (video classifier) | Custom data generator Pt-4

tip n tricks 1: dot notation access to dictionary attribute

Deep Model Ensemble 1 -

High dimensional features/embedding visualization with tensor board using tensor flow 2

Visualizing weights & intermediate layer outputs of CNN in Keras

Part-4 Understanding Rotation Net approach for unsupervised representation learning

Part-1 Introduction to Self-Supervised Learning

Part-2: Dataloaders for different scenarios of data augmentation in PyTorch

Bar Chart Race Tutorial with Covid-19 Dataset - Pt-2

Importing CSV file to SQLite DB Browser

2D Convolution Neural Network Animation

Part-3: Dataloaders for different scenarios of data augmentation in PyTorch

Downloading all images from google image search, all at once

Part 5.5: Implementing RotationNet approach for Custom Data

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Covid-19 Data upto 31 Dec 2020: Bar Chart Race visualization

Covid-19: Bar Chart Race Visualization

Thank you!! 5 K Subscribers!!!!

April Covid-19: Bar Chart Race Visualization

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Part-2 contd.. : Evaluating Self-Supervised Learning Models

Part 5.3: Implementing RotationNet approach for Custom Data

Part-3 Quick overview of different self-supervised learning approaches.

Part 5.4: Implementing RotationNet approach for Custom Data

02 rearranging linked list part 1

Intermediate convolution layer visualization-VGG-16

Part 5.1: Implementing RotationNet approach for Custom Data

First Live stream: Getting started with AI and any general questions

Episode-1.3: Getting started-Keras || TFK-Deep Learning || Exploring Neurons

Ep-2.2: Linear Regression with Tensorflow || TFK-Deep Learning || Exploring Neurons

Bar Chart Race Tutorial with Covid-19 Dataset - Pt-1

Part-1: Dataloaders for different scenarios of data augmentation in PyTorch

Converting given data distribution to another distribution

Trying out Tensorflow object detection API with Infrared input

Potholes of Bengaluru.

Reliable & Trustworthy AI with Uncertainty Estimation.