In this post, you'll learn realtime Face Emotion Recognition using transfer learning in TensorFlow
The dataset which we’ll use is fer2013 which was published in International Conference on Machine Learning in 2013. Let’s dive into the project, first open a new project using Jupyter Notebook or any other environment you like. First and foremost, importing the libraries
import tensorflow as tf import cv2 import os import matplotlib.pyplot as plt import pandas as pd import numpy as np
OpenCV-Python is a library of Python bindings designed to solve computer vision problems.
cv2.imread() method loads an image from the specified file. If the image cannot be read (because of the missing file, improper permissions, unsupported or invalid format) then this method returns an empty matrix. We can read the image through the following line of code:
img_array = cv2.imread(‘train/0/Training_3908.jpg’)
Artificial Neural Network | Deep Learning with Tensorflow and Artificial Intelligence | I have talked about Artificial neural networks and its implementation in TensorFlow using google colab. You will learn: What is an Artificial Neural Network? Building your neural network using Tensorflow.
Convolutional Neural Network | Deep Learning with Tensorflow and Artificial Intelligence | I have talked about Convolutional neural networks and their implementation in TensorFlow using Google Colab. You will learn: What is a Convolutional Neural Network? Four different layers of CNNs; Building your CNNs using Tensorflow.
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The past few decades have witnessed a massive boom in the penetration as well as the power of computation, and amidst this information.
Deep Learning Explained in Layman's Terms. In this post, you will get to learn deep learning through a simple explanation (layman terms) and examples.