94 articles

📰 Dev.to · Rijul Rajesh

Articles from Dev.to · Rijul Rajesh · 94 articles · Updated every 3 hours · View all reads

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Understanding Word2Vec – Part 3: Predicting the Next Word with Neural Networks
Dev.to · Rijul Rajesh 1mo ago
Understanding Word2Vec – Part 3: Predicting the Next Word with Neural Networks
In the previous article, we explored how words can be converted into neural network inputs and...
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Understanding Word2Vec – Part 2: Converting Words into Neural Network Inputs
Dev.to · Rijul Rajesh 1mo ago
Understanding Word2Vec – Part 2: Converting Words into Neural Network Inputs
In the previous article, we just got started with the concept Word2Vec and assigning numbers to...
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Understanding Word2Vec: Teaching Neural Networks to Understand Words
Dev.to · Rijul Rajesh 1mo ago
Understanding Word2Vec: Teaching Neural Networks to Understand Words
As humans, we use words to communicate, but in the case of machines we are usually accustomed to...
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Understanding LSTMs – Part 6: How LSTM Produces Its Final Output
Dev.to · Rijul Rajesh 1mo ago
Understanding LSTMs – Part 6: How LSTM Produces Its Final Output
In the previous article we went through the input gate, in this article we will explore the next...
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Understanding LSTMs – Part 5: The Input Gate Explained
Dev.to · Rijul Rajesh 1mo ago
Understanding LSTMs – Part 5: The Input Gate Explained
In the previous article, we have just went through the 2nd and 3rd components in LSTM, we will...
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Understanding LSTMs – Part 4: How LSTM Decides What to Forget
Dev.to · Rijul Rajesh 1mo ago
Understanding LSTMs – Part 4: How LSTM Decides What to Forget
In the previous article, we completed the first part of the LSTM and obtained the result from the...
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Understanding LSTMs – Part 3: Breaking Down the First Step
Dev.to · Rijul Rajesh 1mo ago
Understanding LSTMs – Part 3: Breaking Down the First Step
In the previous article, we just had a glimpse of long-term and short-term memory paths. Let us...
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Understanding LSTMs – Part 2: The Long-Term and Short-Term Memory Paths
Dev.to · Rijul Rajesh 1mo ago
Understanding LSTMs – Part 2: The Long-Term and Short-Term Memory Paths
In the previous article we just began with the concept of LSTMS and its diagrams. In this article we...
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Understanding RNNs – Part 4: The Vanishing and Exploding Gradient Problem
Dev.to · Rijul Rajesh 1mo ago
Understanding RNNs – Part 4: The Vanishing and Exploding Gradient Problem
In the previous article, we understood the concept of unrolling a network. In this article, we will...
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Understanding RNNs – Part 3: Unrolling a Recurrent Neural Network
Dev.to · Rijul Rajesh 1mo ago
Understanding RNNs – Part 3: Unrolling a Recurrent Neural Network
In the previous article, we passed some values to the RNN and obtained the output. Now, to make it...
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Understanding RNNs – Part 2: Running Sequential Data Through the Network
Dev.to · Rijul Rajesh 1mo ago
Understanding RNNs – Part 2: Running Sequential Data Through the Network
In the previous article, We have explored the need for a Recurrent neural network and an example...
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Understanding RNNs: Neural Networks for Time-Dependent Data
Dev.to · Rijul Rajesh 1mo ago
Understanding RNNs: Neural Networks for Time-Dependent Data
In my previous articles, we have explored neural networks and related concepts. Now let's explore...
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Image Classification with CNNs – Part 4: Dealing with Variations in Input
Dev.to · Rijul Rajesh 1mo ago
Image Classification with CNNs – Part 4: Dealing with Variations in Input
In the previous article, we have processed the input through the neural network and predicted the O...
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Image Classification with CNNs – Part 3: Understanding Max Pooling and Results
Dev.to · Rijul Rajesh 1mo ago
Image Classification with CNNs – Part 3: Understanding Max Pooling and Results
In the previous article, we were going through the creation of feature map. In this article we will...
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Image Classification with Convolutional Neural Networks – Part 2: Creating a Feature Map
Dev.to · Rijul Rajesh 2mo ago
Image Classification with Convolutional Neural Networks – Part 2: Creating a Feature Map
In the previous article, we saw why we need convolutional neural networks for solving the image...
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Image Classification with Convolutional Neural Networks – Part 1: Why We Need CNNs
Dev.to · Rijul Rajesh 2mo ago
Image Classification with Convolutional Neural Networks – Part 1: Why We Need CNNs
In this article, we will explore image classification using convolutional neural networks. For this,...
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Cross Entropy Derivatives, Part 6: Using gradient descent to reach the final result
Dev.to · Rijul Rajesh 2mo ago
Cross Entropy Derivatives, Part 6: Using gradient descent to reach the final result
In the previous article, We plotted a curve which would help us optimize the bias. In this article,...
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Cross Entropy Derivatives, Part 5: Optimizing bias with backpropagation
Dev.to · Rijul Rajesh 2mo ago
Cross Entropy Derivatives, Part 5: Optimizing bias with backpropagation
In the previous article, we calculated the derivatives of the cross-entropy loss. In this article, we...
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Cross Entropy Derivatives, Part 4: Solving for other output classes
Dev.to · Rijul Rajesh 2mo ago
Cross Entropy Derivatives, Part 4: Solving for other output classes
In the previous article, we have solved the derivative for one of the output classes, we will do the...
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Cross Entropy Derivatives, Part 3: Chain Rule for a Single Output Class
Dev.to · Rijul Rajesh 2mo ago
Cross Entropy Derivatives, Part 3: Chain Rule for a Single Output Class
In the previous article, we prepared a chain rule equation to compute the derivative of cross entropy...
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Cross Entropy Derivatives, Part 2: Setting Up the Derivative with Respect to a Bias
Dev.to · Rijul Rajesh 2mo ago
Cross Entropy Derivatives, Part 2: Setting Up the Derivative with Respect to a Bias
In the previous article we reviewed the key ideas needed to work with derivatives of cross...
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Cross Entropy Derivatives, Part 1: Differentiating Softmax Outputs
Dev.to · Rijul Rajesh 2mo ago
Cross Entropy Derivatives, Part 1: Differentiating Softmax Outputs
In the previous article, we just touched upon the idea of cross entropy, in the coming articles, we...
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Exploring Cross Entropy (Part 2): Understanding Total Cross Entropy and Loss with a Python Example
Dev.to · Rijul Rajesh 2mo ago
Exploring Cross Entropy (Part 2): Understanding Total Cross Entropy and Loss with a Python Example
In the previous article, we went through cross entropy for backpropagation in the case of...
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Exploring Cross Entropy: The Essential Component for Softmax Backpropagation
Dev.to · Rijul Rajesh 2mo ago
Exploring Cross Entropy: The Essential Component for Softmax Backpropagation
In the previous article, we saw how softmax works and why it is preferred over argmax when it comes...
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