Learn Deep Learning & Computer Vision for Image Classification using Pre-trained Models with Python using Google Colab

In this course, you will learn Deep Learning with Python and PyTorch for Image Classification using Pre-trained Models. Image Classification is a computer vision task to recognize an input image and predict a single-label or multi-label for the image as output using Machine Learning techniques.

• You will use Google Colab notebooks for writing the python code for image classification using Deep Learning models.

• You will learn how to connect Google Colab with Google Drive and how to access data.

• You will perform data preprocessing using different transformations such as image resize and center crop etc.

• You will perform two types of Image Classification, single-label Classification, and multi-label Classification using deep learning models with Python.

In single-label Cassification, when you feed input image to the network it predicts single label. In multi-label Classification, when you feed input image to the network it predicts multiple labels.  You will Learn Deep Learning architectures such as ResNet and AlexNet. The ResNet is a deep convolution neural network proposed for image classification and recognition. ResNet network architecture designed for classification task, trained on the imageNet dataset of natural scenes that consists of 1000 classes. Deep residual nets won the 1st place on the ILSVRC 2015 Classification challenge. Alexnet is a deep convolution neural network trained on ImageNet dataset to classify the images into 1000 classes. It has five convolution layers followed by max-pooling layers, and 3 fully connected layers. AlexNet won the ILSVRC 2012 Classification challenge. You will perform image classification using ResNet and AlexNet deep learning models. The Deep Learning community has greatly benefitted from these open-source models where pre-trained models are a major reason for rapid advancements in the Computer Vision and deep learning research.

Aprendizaje profundo con Python para la clasificación de imágenes

Learn Deep Learning & Computer Vision for Image Classification using Pre-trained Models with Python using Google Colab”

Este curso es GRATIS

Curso gratis en Udemy

Con los cursos gratis de Udemy puedes aprender muchas cosas sin tener que gastar en ello. Pero primero debes tener en cuenta varias cosas:

Contenido Gratuito

Los cursos gratis de Udemy te permiten aprender nuevas cosas sin tener que pagar. Aprovecha la oportunidad.

Aprendizaje

Pon en práctica todos tus conocimientos aprendidos. Realiza increíbles proyectos basados en el mundo real.

Anuncios

Limites

Debes tener en cuenta que todos los cursos gratuitos de Udemy son de máximo 2 horas y no incluyen un certificado.

Este curso se encuentra disponible de manera gratuita sin necesidad de ningún cupón, a través de la opción “GRATIS”.

Te recomendamos primero leer las diferencias entre un curso gratis y uno de pago para evitar malentendidos:

Deja tus comentarios y sugerencias

Sobre Facialix

Facialix es un sitio web que tiene como objetivo apoyar en el aprendizaje y educación de jóvenes y grandes. Buscando y categorizando recursos educativos gratuitos de internet, de esta manera Facialix ayuda en el constante aprendizaje de todos.