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A collection of deep learning projects implemented using Keras and TensorFlow, covering essential concepts from Python basics to advanced applications like image classification with CNNs and text generation with RNNs.

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Deep Learning Projects: From Basics to Advanced Applications

This repository contains a collection of deep learning projects implemented using Keras and TensorFlow. The projects cover a range of topics, from foundational Python concepts to more advanced applications such as image classification with Convolutional Neural Networks and text generation with Recurrent Neural Networks.

Table of Contents

Each notebook in this repository can be easily run in Google Colab. Simply click on the "Open in Colab" badge next to each notebook title. This will open the notebook directly in Google Colab, where you can run the code, experiment, and even save your own copies:

  1. Python Basics for Deep Learning Open in Colab
  2. Neural Network from Scratch Open in Colab
  3. Image Classification with CNNs Open in Colab
  4. Text Generation with RNNs Open in Colab

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A collection of deep learning projects implemented using Keras and TensorFlow, covering essential concepts from Python basics to advanced applications like image classification with CNNs and text generation with RNNs.

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