Sidharth
@PyCodeMates
🚀 Sidharth - AI Enthusiast and ML Engineer 🇮🇳 Based in India 👨💻 Machine Learning & Deep Learning Intern at Brototype
Was dir gefallen könnte
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…
#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
#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…
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
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.
#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
#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.
#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.
#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.
#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.
United States Trends
- 1. Josh Allen 31.2K posts
- 2. Texans 51K posts
- 3. Bills 145K posts
- 4. Joe Brady 4,740 posts
- 5. #MissUniverse 330K posts
- 6. #MissUniverse 330K posts
- 7. Anderson 25.8K posts
- 8. McDermott 3,990 posts
- 9. Maxey 10.4K posts
- 10. #TNFonPrime 3,014 posts
- 11. Al Michaels N/A
- 12. Costa de Marfil 21.3K posts
- 13. Dion Dawkins N/A
- 14. Shakir 5,441 posts
- 15. #htownmade 3,289 posts
- 16. CJ Stroud 1,133 posts
- 17. #BUFvsHOU 3,125 posts
- 18. James Cook 5,532 posts
- 19. Spencer Brown N/A
- 20. Knox 5,539 posts
Was dir gefallen könnte
-
BitsLovers
@BitsLovers -
Casper⚡| Morales
@bluecassperszn -
CardioEgypt
@CardioEgypt_ -
Olympia Orthopaedic Associates
@OlyOrtho -
1SpecialPlace
@1specialplace -
Susan Coia Gailey
@SusanCoiaGailey -
KIMS - Sunshine Hospitals
@KimsSunshineHos -
Jack Raifer Baruch
@JackRaifer -
J
@Diplomat990 -
Murdock Halligan
@SoDakMurdock -
uniquetimes
@uniquetimesorg -
synesthesic_ale𝕏ithymic☮🕉️
@soulless_subbu -
Jeremy
@JALee93
Something went wrong.
Something went wrong.