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The Deep Learning Concepts Repository is a concise and accessible collection of essential concepts in deep learning. It provides clear explanations and examples for neural networks, CNNs, RNNs, activation functions, loss functions, backpropagation, gradient descent, and overfitting/underfitting. An invaluable resource for beginners and practitioner

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cnn lenet-architecture paddings pooling strides deep-learning

deep-learning-concepts's Introduction

Hi ๐Ÿ‘‹, I'm AVINASH M YEROLKAR

A passionate Data scientist from India


๐Ÿ’ซ About Me:

๐Ÿ”ญ Iโ€™m currently working on - Data Science and Machine Learning

๐Ÿ’ฌ Ask me about Machine learning and python
โšก Currently working as Intern with Data Science Wizards having platform called Unify AI.

Coding

๐Ÿ’ป Tech Stack:

Python NumPy SciPy TensorFlow scikit-learn Pandas NumPy Keras

๐Ÿ“Š GitHub Stats:



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