Skip to content

knowledge Transfer

  • Keras
  • Flutter
  • TensorFlow
  • Android
  • Contact Us
December 12, 2020

How to apply Gradient Clipping in PyTorch

PyTorchBrijesh0

The value for the gradient vector norm or preferred range can be configured by trial and error, by using common values used in the literature, or by first observing common vector norms or ranges via experimentation and then choosing a sensible value.

October 19, 2020

How to Scale data into the 0-1 range using Min-Max Normalization.

PandasBrijesh0

min-max scaling, is the simplest and consists method in rescaling. The range of features to scale in [0, 1] or [−1, 1]. The impact is that we end up with smaller standard deviations, which can suppress the effect of outliers.

October 9, 2020

How to upload Image using multipart in Flutter

FlutterBrijesh0

Build a flutter application with the ability to select the image from the gallery using ImagePicker and upload images to the web server using a multi-part post request.

October 6, 2020

Save the best model using ModelCheckpoint and EarlyStopping in Keras

KerasBrijesh0

In this tutorial, we understanding how to save the best model during the training. Using two different callbacks ModelCheckpoint and EarlyStopping.

September 27, 2020

Text Classification in PyTorch

PyTorchBrijesh0

By the end of this project, you will be able to apply word embeddings for text classification, use LSTM as feature extractors in natural language processing (NLP), and perform binary text classification using PyTorch.

September 18, 2020

Pre-Train Word Embedding in PyTorch

PyTorchBrijesh0

we need to create a matrix of one embedding for each word in the training dataset. We can do that by enumerating all unique words in the Tokenizer.word_index and locating the embedding weight vector from the loaded GloVe embedding.

September 2, 2020

Pytorch Image Augmentation using Transforms.

PyTorchBrijesh0

The quality of the images will not be the same from each source. Some images might be of very high quality while others might be just plain bad. In such scenarios, we can blur the image. This helps make our deep learning model more robust. Transforms provide a class for randomly change the brightness, contrast, and saturation of an image.

August 23, 2020

Convert PASCAL dataset to TFRecord for object detection in TensorFlow

TensorFlowBrijesh0

Once you are done annotating your image dataset in the Pascal VOC format, you must convert your data into the TFRecord format. Because to use your own dataset in TensorFlow Object Detection API, you must convert it into the TFRecord file format.

August 13, 2020

Change the Learning Rate using Schedules API in Keras

KerasBrijesh0

The intuition behind slowly reducing the learning rate is that maybe during the initial steps of learning you can afford to take much bigger steps but then as learning approaches convergence then having a slower learning rate allows you to take smaller steps.

August 3, 2020

Convolutional Neural Network using Sequential model in PyTorch.

PyTorchBrijesh0

How easy this looks compared to when we had to construct a model through the class way of doing it. Sequential class lives in the neural network package and this is a class that we are building by or we’re building an instance of this class by passing in other modules in a sequential.

Posts navigation

Previous 1 2 3 … 17 Next

Recent Posts

  • How to use the BatchNorm layer in PyTorch?
  • How to design Flutter app according to different screen sizes(Adaptive).
  • How to set custom weights in keras using NumPy array
  • How to initialize and get biases in a keras model?
  • How to initialize weight and bias in PyTorch?
  • How to calculate the number of parameters for a Convolutional and Dense layer in Keras?
  • Pads and Pack Variable Length sequences in Pytorch
  • How to Visualize Feature Maps in Convolutional Neural Networks using PyTorch
  • What is the Dying ReLU problem in Neural Networks?
  • How to Capture and Play Video in Google Colab?
  • Privacy Policy
Copyright © 2021 knowledge Transfer All Rights Reserved.
Powered by WordPress. Designed by Yossy's web service.