-
Updated
Sep 30, 2020 - Jupyter Notebook
#
reducelearningrate
Here are 2 public repositories matching this topic...
nlp
word-embeddings
lstm
gru
neural-networks
lstm-model
stemming
lemmatization
kaggle-dataset
countvectorizer
glove-embeddings
gru-model
tf-idf-vectorizer
onehot-encoder
news-dataset
early-stopping
reducelearningrate
onehot-encoding
fake-real-news-dataset
sequence-padding
It has 12 Classes for twelve different types of crops. This Dataset is in a zip file containing twelve folders of each plant containing their pictures. It is a Image Classification Problem, which can be easily solved Deep Learning Models such CNN(Convolutional Neural Networks)
deep-learning
agriculture
data-visualization
plants
dropout
image-classification
convolutional-neural-networks
confusion-matrix
image-segmentation
crops
multi-class-classification
earlystopping
field-dataset
reducelearningrate
-
Updated
Jun 8, 2019 - Jupyter Notebook
Improve this page
Add a description, image, and links to the reducelearningrate topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the reducelearningrate topic, visit your repo's landing page and select "manage topics."