Deep Learning: Convolutional Neural Networks in Python | Bestseller Convolutional Neural Networks course 79% off
Udemy Convolutional Neural Networks course
Description
Discover about one of the most potent Deep Learning frameworks to date!
Convolutional Neural Networks (CNNs) have been utilized to achieve cutting edge outcomes in computer vision applications, including object recognition, picture segmentation, and the creation of remarkably lifelike renderings of objects and people that don't exist in reality!
The principles of convolution and its applications to deep learning and natural language processing (NLP) will be covered in this course.
You will construct contemporary designs like VGG and learn about contemporary methods like batch normalization and data augmentation.
This course will teach you:
The basics of machine learning and neurons (just a review to get you warmed up!)
Neural networks for classification and regression (just a review to get you warmed up!)
How to model image data in code
How to model text data for NLP (including preprocessing steps for text)
How to build an CNN using Tensorflow 2
How to use batch normalization and dropout regularization in Tensorflow 2
How to do image classification in Tensorflow 2
How to do data preprocessing for your own custom image dataset
How to use Embeddings in Tensorflow 2 for NLP
How to build a Text Classification CNN for NLP (examples: spam detection, sentiment analysis, parts-of-speech tagging, named entity recognition)
coupon Code : UDEAFNULP1123
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