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Articles by AmitDiwan
Page 637 of 840
Difference between YOLO and SSD
YOLO and SSD are real-time object detection systems that possess significant differences, that have been listed below − YOLO (You Only Look Once) YOLO uses a neural network to help with real-time object detection. It became popular due to its speed and accuracy. It is considered a regression problem, where the algorithm looks at the object/s only once. There are algorithms associated with YOLO that achieve 155 FPS (frames per second). Image is divided into a grid, and every grid calculates class probabilities and bounding box parameters to determine the object in its entirety. It is an open-source detection ...
Read MoreIntroduction to TensorFlow Lite
TensorFlow Lite is a mobile library designed to deploy models on mobile, microcontrollers and edge devices. It comes with tools that enable on-device machine learning on mobile devices using 5 aspects − latency, privacy, connectivity, size, and power consumption. It provides support on Android, iOS, embedded Linux and microcontrollers. Supports multiple languages such as Java, Swift, Objective C, C++, and Python. Also provides hardware acceleration and model optimization. The documentation provides end-to-end examples for machine learning projects such as image classification, object detection, question answering, pose estimation, text classification, and many more on different platforms. There are two aspects to ...
Read MoreDifference between TensorFlow and Caffe
TensorFlow TensorFlow is an open-source end-to-end platform to build machine learning applications. It was developed by researchers and developers at Google Brain. Let us now see the features of TensorFlow − Build and Train models easily − TensorFlow offers multiple levels of abstraction to make it quick for you to choose the correct one. Build and train models by using the high-level Keras API, which makes beginning with TensorFlow and machine learning easy. Eager execution lets immediate iteration and intuitive debugging. For large ML training tasks, use the Distribution Strategy API for distributed training on different hardware configurations without changing ...
Read MoreImpact and Example of Artificial Intelligence
Artificial intelligence deals with programming computers to detect patterns in new data, make decisions based on user input, and give output based on the user input. All the rules are not explicitly defined and it is expected by the developer that the machine learns these rules by experience, using a reward-punishment mechanism. Applications of Machine Learning Artificial intelligence has come a long way with self-driving cars, bots, object and facial recognition, and much more. In recent times, algorithms have been developed with a better accuracy that can help provide outputs which have better accuracies. Due to the improvements in ...
Read MoreDifference between TensorFlow and Keras
In this article, you will understand the significant differences between Tensorflow and Keras libraries.TensorFlowTensorFlow is an open-source end-to-end platform to build machine learning applications. It was developed by researchers and developers at Google Brain. Let us now see the features of TensorFlow − Build and Train models easily − TensorFlow offers multiple levels of abstraction to make it quick for you to choose the correct one. Build and train models by using the high-level Keras API, which makes beginning with TensorFlow and machine learning easy. Eager execution lets immediate iteration and intuitive debugging. For large ML training tasks, use the ...
Read MoreDifference between TensorFlow and Theano
In this article, you will understand the significant differences between Tensorflow and Theano libraries.TensorFlowIt is an open-source end-to-end platform to build machine learning applications and was developed by researchers and developers at Google Brain. Let us now see the features of TensorFlow − Ecosystem of powerful add-on libraries − TensorFlow also supports an ecosystem of powerful add-on libraries and models to experiment with, including Ragged Tensors, TensorFlow Probability, Tensor2Tensor and BERT. TensorFlow Serving − It is a flexible and high-performance serving system for machine learning models, designed for production environments. It runs ML models at production scale on the ...
Read MoreKotlin Program to Generate Multiplication Table
In this article, we will understand how to print a multiplication table. Multiplication table is created by iterating the required input 10 times using a for loop and multiplying the input value with numbers from 1 to 10 in each iteration. Below is a demonstration of the same − Suppose our input is − Input : 16 The desired output would be − The multiplication table of 16 is : 16 * 1 = 16 16 * 2 = 32 16 * 3 = 48 16 * 4 = 64 16 * 5 = 80 16 * 6 = ...
Read MoreKotlin Program to Round a Number to n Decimal Places
In this article, we will understand how to round a number to n decimal places. Rounding of decimal values are done using the ceil() or floor() functions. Below is a demonstration of the same − Suppose our input is Input : 3.1415 The desired output would be − Output : 3.2 Algorithm Step 1 − START Step 2 − Declare a float value namely myInput. Step 3 − Define the values Step 4 − Use format() to alter the number of decimal places required. Store the result. Step 5 − Display the result Step 6 − Stop ...
Read MoreKotlin Program to calculate Simple Interest and Compound Interest
In this article, we will input the Principal Amount, Rate and Time (Years) from the user to find the Simple Interest and Compound Interest − Simple Interest − The percentage interest on total principal amount. Returns are less compared to Compound Interest. Compound Interest − The percentage interest charged on principal and accrued interest. Rates are higher compared to Simple Interest. Below is a demonstration of the same − Suppose our input is − Principal = 25000.0 Annual Rate of Interest = 10.0 Time (years) = 4.0 The desired output would be − Simple Interest: 10000.0 Compound ...
Read MoreKotlin Program to Count the Number of Vowels and Consonants in a Sentence
In this article, we will understand how to count the vowels and consonants in Kotlin. Alphabets that include the following are called Vowels − ‘a’ ‘e’ ‘i’ ‘o’ ‘u’ All other alphabets are called Consonants. Suppose our input is − Hello, my name is Charlie The desired output would be − The number of vowels in the statement is: 8 The number of vowels in the Consonants is: 12 Algorithm Step 1 − Start Step 2 − Declare two integers: vowelsCount, consonantsCount and a string input Step 3 − Define the values Step 4 − Run ...
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