Day 47 – SAP Intelligent Robotic Process Automation, Use Case, Benefits, and Available Features
We have talked a lot about Artificial Intelligence, Machine Learning, ...
Day – 46 – Mean Square Error(MSE), Root Mean Square Error(RMSE), Mean Absolute Error(MAE)
The linear regression problems use few performance measures Mean ...
Day 45 – Code Example: Predict Digit 1 Using Stochastic Gradient Descent (SGD) in MNIST Dataset
In my previous blogs, we had gone through “MNIST ...
Day 44 – Code Example: Import EMNIST Dataset and Print Handwritten Letters
In one of our blogs, we had gone through ...
Day 43 – Sequence-to-Sequence, Sequence-to-Vector, and Vector-to-Sequence
In Recurrent Neural Networks, the sequence of inputs and ...
Day 42 – Forecasting a Time Series and Recurrent Neural Network(RNNs)
One of the most challenging parts is Forecasting a ...
Day 41 – Pre-trained Models for Transfer Learning
Most of the time, we will not have enough ...
Day 40 – EMNIST Dataset Handwritten Character Digits
Image Source: Tensorflow EMNIST dataset is handwritten characters and ...
Day 39 – Predict an Image Using Xception Pre-trained Model
Xception architecture is similar to InceptionV3; however, the model ...
Day 38 – Predict an Image Using NASNetMobile Pre-trained Model for Mobile
Image Source: Pexels NASNetMobile architecture is another mobile architecture ...