Welcome to Day 53 of the 100 Days of Python series! Today, we dive into Recurrent Neural Networks (RNNs) and their powerful capabilities with sequential data. In this video, we cover:
Understanding sequential data and the basics of RNNs
Building an RNN architecture for sequence prediction
Exploring applications like text generation with LSTM layers
Join us as we build and train RNNs using TensorFlow and Keras, and discover how these networks can be applied to real-world tasks. Don’t forget to like, subscribe, and hit the bell icon for daily Python tutorials. Happy coding!
Tags:
Python, Python programming, Deep Learning, TensorFlow, Keras, RNN, Recurrent Neural Networks, LSTM, Text Generation, Sequence Prediction, Machine Learning, Data Science, AI, Artificial Intelligence, Python tutorial, 100 Days of Python, Learn Python, Hands-on Python, Coding, Programming, Beginner Python, Deep Learning Tutorial, TensorFlow Tutorial, Time Series, Sequential Data, NLP
Hashtags:
#Python #DeepLearning #TensorFlow #Keras #RNN #LSTM #TextGeneration #SequencePrediction #MachineLearning #PythonTutorial #100DaysOfPython #LearnPython #AI #PythonProgramming #DataScience