Sidharth @PyCodeMates

🚀 Sidharth - AI Enthusiast and ML Engineer 🇮🇳 Based in India 👨‍💻 Machine Learning & Deep Learning Intern at Brototype pycodemates.com Joined January 2022

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Sidharth @PyCodeMates

a year ago

Q-Drive: Self-Play Car Game Using Deep #Reinforcementlearning. The project aims to understand the effectiveness of #DeepQLearning in continuous environments. #ArtificialInteligence #DeepLearning #NeuralNetworks #MachineLearning Source Code: github.com/sidharth72/Q-D…

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Sidharth @PyCodeMates

2 years ago

#youtube video summarization & Chat #ai #chatbot #gpt-3 #gradio #langchain Live: lnkd.in/gmASdYrW Source Code: lnkd.in/gSr-5y_p Project: lnkd.in/g7ZgCNAP

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#AI is transforming finance by learning to #trade stocks through #DeepReinforcementLearning. Using a custom environment and technical indicators, the neural network agent learns to make better trades after a million timesteps of training. suite.pycodemates.com/trading-ai-usi…

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Sidharth @PyCodeMates

2 years ago

Hi everyone, I recently built a Convolutional Neural Network (CNN) from scratch using NumPy, just for fun! 😁 This is one of the activities I always engage in during my free time, and it has been an excellent way to gain a deeper understanding of how the…lnkd.in/gEkSCM2B

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Sidharth @PyCodeMates

2 years ago

Mini Series #MLMiniSeries #RNN A Recurrent Neural Network (RNN) is a type of neural network that processes sequences of inputs and produces sequences of outputs. It is commonly used in natural language processing, image recognition, and time series analysis.

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Sidharth @PyCodeMates

2 years ago

#MLminiSeries #CNN: A Convolutional Neural Network is a type of deep learning AI used for image recognition & classification tasks. It takes an input image, passes it through multiple convolution layers, and produces an output of class probabilities. #AI #DeepLearning

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Sidharth @PyCodeMates

2 years ago

#MLminiSeries #ActivationFunctions An activation function is a non-linear transformation that is applied to the input of a node in a neural network to determine the output of the node. It is a mathematical function used to determine the output of a neural network.

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Sidharth @PyCodeMates

2 years ago

#MLminiSeries #Backpropagation Backpropagation is an algorithm used to calculate the error contribution of each neuron after a batch of data. It is used in supervised learning to update the weights and biases of the neural network.

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Sidharth @PyCodeMates

2 years ago

#MLminiSeries #FeedforwardNN A feedforward neural network is a type of artificial neural network in which information flows only in one direction, from input to output, without forming a cycle. It is a basic type of artificial neural network.

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Sidharth @PyCodeMates

2 years ago

#MLminiSeries #Stacking is an ensemble machine learning technique where multiple models are trained and combined to create a stronger model with improved accuracy. It is used to improve the performance of a single model.