Deep Learning Tutorials

Welcome to our collection of deep learning tutorials. Here, you'll find a range of guides, from beginner to advanced, covering the essentials of deep learning.

Getting Started

Before diving into the tutorials, it's important to understand some of the basic concepts. Here are a few key terms to familiarize yourself with:

• Neural Networks: The building blocks of deep learning, neural networks are algorithms that can recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.

• Deep Learning: A subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.

• Data: At the heart of deep learning are large sets of data. The more data you have, the better your model will be.

Tutorials

Basic Concepts

• Introduction to Neural Networks
• Understanding Data Preprocessing

Implementing Neural Networks

• Building a Neural Network from Scratch
• TensorFlow and Keras Quickstart

Advanced Techniques

• Convolutional Neural Networks
• Recurrent Neural Networks

Practical Examples

• Sentiment Analysis with RNNs
• Image Classification with CNNs

Deep learning is a rapidly evolving field, and staying up-to-date with the latest trends and techniques is crucial. Our tutorials are designed to help you on this journey.

Stay curious! 🧐

Neural_Network

Convolutional_Neural_Network

Recurrent_Neural_Network