Author Archives: Mohit Maithani - Page 2

19 Jan

Ultimate guide to PyTorch Optimizers

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image-19314

PyTorch is the fastest growing deep learning framework and it is also used by many top fortune companies like Tesla, Apple, Qualcomm, Facebook, and many more. It integrates many algorithms, methods, and classes into a single line of code to ease your day. Today we are going to discuss the PyTorch optimizers, So far, we’ve…

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18 Jan

Guide To Tensorflow Keras Optimizers

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image-19270

Optimizers are the expanded class, which includes the method to train your machine/deep learning model. Right optimizers are necessary for your model as they improve training speed and performance, Now there are many optimizers algorithms we have in PyTorch and TensorFlow library but today we will be discussing how to initiate TensorFlow Keras optimizers, with…

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18 Jan

Guide To Tensorflow Keras Optimizers

image-19268
image-19268

Optimizers are the expanded class, which includes the method to train your machine/deep learning model. Right optimizers are necessary for your model as they improve training speed and performance, Now there are many optimizers algorithms we have in PyTorch and TensorFlow library but today we will be discussing how to initiate TensorFlow Keras optimizers, with…

The post Guide To Tensorflow Keras Optimizers appeared first on Analytics India Magazine.

12 Jan

Guide to OpenPose for Real-time Human Pose Estimation

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image-19153

OpenPose is a Real-time multiple-person detection library, and it’s the first time that any library has shown the capability of jointly detecting human body, face, and foot keypoints. Thanks to Gines Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Hanbyul Joo, and Yaser Sheikh for making this project successful and this library is very much dependent…

The post Guide to OpenPose for Real-time Human Pose Estimation appeared first on Analytics India Magazine.

12 Jan

Guide to OpenPose for Real-time Human Pose Estimation

image-19151
image-19151

OpenPose is a Real-time multiple-person detection library, and it’s the first time that any library has shown the capability of jointly detecting human body, face, and foot keypoints. Thanks to Gines Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Hanbyul Joo, and Yaser Sheikh for making this project successful and this library is very much dependent…

The post Guide to OpenPose for Real-time Human Pose Estimation appeared first on Analytics India Magazine.

12 Jan

Hands-on Guide to Impersonator++: Motion Imitation Library

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image-19135

Impersonator++ is a human motion imitation library with state-of-the-art image synthesis within a unified framework, which means if the model once trained it can be used to handle all these tasks. Previous methods use 2D human pose key points to estimate the body structure, but Impersonator++  uses a 3D body Mesh recovery module to extricate…

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11 Jan

How To Colorize Your Old Image & Videos using DeOldify?

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image-19115

DeOldify is a Black and White image Colorizing library created by Jason Antic. Mainly, this library utilized the techniques of these two papers: Self-Attention Generative Adversarial Network and Two Time-Scale Update Rule. Also, DeOldify introduced the NoGAN technique to solve some of the key problems to make hyper-realistic colorization images and video, and we will…

The post How To Colorize Your Old Image & Videos using DeOldify? appeared first on Analytics India Magazine.

11 Jan

How To Colorize Your Old Image & Videos using DeOldify?

image-19113
image-19113

DeOldify is a Black and White image Colorizing library created by Jason Antic. Mainly, this library utilized the techniques of these two papers: Self-Attention Generative Adversarial Network and Two Time-Scale Update Rule. Also, DeOldify introduced the NoGAN technique to solve some of the key problems to make hyper-realistic colorization images and video, and we will…

The post How To Colorize Your Old Image & Videos using DeOldify? appeared first on Analytics India Magazine.

09 Jan

Ultimate Guide To Loss functions In Tensorflow Keras API With Python Implementation

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image-19093

We have already covered the PyTorch loss functions implementations in our previous article, now we are heading forward to the other libraries that have been used more widely than PyTorch, today we are going to discuss the loss functions supported by the Tensorflow library, there are almost 15 different kinds of loss functions supported by…

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