Category: Deep Learning
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Callbacks in Deep Neural Networks
Hello! Welcome 🔙. Deep Neural Networks often take huge amount of time to train and we don’t know lot of things in the initial phases like number of epochs, our model would take to generalize the train data & etc. We would also like to quantify the performance of our model using several metrics while…
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Tuning Hyperparameters in Deep Learning
Hello everyone, Welcome to our final blog in this Deep Learning Introduction series. In this blog, we will discuss on hyperparameter tuning, which’s a question on everyone’s mind when getting started with Deep Learning. Hyperparameter tuning There are several hyperparameters we should take in consideration while building deep learning models, which are mostly specific to…
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Training a Neural Net
Hello everyone 👋, Welcome back to our Deep Learning Series. In our previous post, we have discussed Data Preprocessing for DL Models or Neural Networks. In this post, we will delve deep into factors, to be taken into consideration while training a Deep Neural Net. Training model can be considered as heart of Deep Learning…
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Data Preprocessing for Neural Networks
Hello everyone👋. In our previous blog we’ve discussed Face Recognition using One Shot Learning. In this post, we will discuss some of the widely used preprocessing methods in Deep Learning. So Let’s jump in. Data Augmentation Data Augmentation is one of the most widely used preprocessing strategy in Computer Vision Techniques. Deep Learning models need…
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Face Recognition using One Shot Learning
Hello everyone 👋. Welcome back. In this blog, we will learn how to use One shot learning algorithms to recognize someone from a single image. Normally, we need multiple images of a single person to recognize his/her face using a Deep Learning model. But, in real time applications, we can’t get tons of data to…
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A guide to YOLO v2
Hey everyone👋, Welcome back. We have covered YOLO’s base model in detail in our previous article. In this blog post, we will discuss it’s version 2(mostly about the improvements made), and then we will have a look into the results of improvements. So, Let’s get started. YOLO v2 YOLO v2 is an improvement to its…
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Object Detection and YOLO
Hello 👋👋, Welcome to our blog post on Object Detection using YOLO (You Only Look Once). YOLO is considered as one of the State of The Art (SOTA) Algorithms in object detection tasks. Here’s the original paper, it might seem difficult to understand and read even because of the format. So here’s our blog to…
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Common Practices in Deep Learning
Hey Deep Learning Nerds, Welcome back ✔. It’s been a while we blogged on Deep Learning. But we are here with an exciting topic. As we know DL involves lot of trail and error before we arrive at a sophisticated model for our problem, but how do people kick the things off whenever they have…
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Types of Neural Networks -CNN
We have discussed about Multi Layer Neural Networks and it’s implementation in python in our previous post. In this post, we will discuss briefly on some of the mostly widely used neural network architectures and we will have a detail on Convolutional Neural Networks. Some of the most widely used Neural Nets: Convolutional Neural Networks.…
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Multi Layer Neural Networks Python Implementation
Hello all, It’s been a while i have posted a blog in this series “Artificial Neural Networks”. We are back with an interesting post on Implementation of Multi Layer Networks in python from scratch. We discussed all the math stuff about Multi Layer Networks in our previous post. I recommend you going through that first…
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