Welcome to the Deep Learning with Keras and TensorFlow repository!
This repository is designed to provide a comprehensive introduction to deep learning using the Keras and TensorFlow frameworks. The main goal is to help users understand the basics of deep learning and build their own neural networks for a variety of tasks.
The repository includes several Jupyter notebooks that cover different aspects of deep learning, such as building a simple neural network, training and testing a deep neural network, using convolutional neural networks (CNNs) for image classification, and using recurrent neural networks (RNNs) for sequence prediction. Each notebook contains detailed explanations and code examples, making it easy for users to follow along and understand the concepts.
In addition to the notebooks, this repository also includes a set of pre-trained models that can be used for various applications, such as image classification, object detection, and text generation. These models can be easily downloaded and used for transfer learning or fine-tuning on new datasets.
Whether you're a beginner or an experienced deep learning practitioner, this repository is a great resource for learning and experimenting with Keras and TensorFlow. We hope you find it useful and we welcome your feedback and contributions.
If you like this repo, don't forget to give me a ✨.
- TensorFlow in 10 Minutes
- Getting started with deep learning
- Artificial Neural Networks Explained
- ANN with Python
- Image Classification with Keras
- Custom Layers with Keras in TensorFlow
- Introduction to Deep Learning with TensorFlow
- How to Save & Load Models?
- Deep Learning Roadmap with Python
- Introduction to Deep Learning with TensorFlow
- Image Classification with TensorFlow
- Sentiment Analysis with TensorFlow Hub
- Custom Layer with Keras in TensorFlow
- Model Subclassing with Keras
- How to Save and Load Deep Learning Models with Keras?
- Data Pipeline with TensorFlow
- Deep Learning vs Machine Learning
- ANNs in Machine Learning
- Derin Öğrenmeye ilk Adım
- Python ile Yapay Sinir Ağları
- Keras ile Resim Sınıflandırma
- Keras Functional API Kullanımı
- Keras Subclassing API ile Katman Oluşturma
- Keras Subclassing API ile Model Kurma
- TensorFlow ile Derin Öğrenmeye Giriş
- TensorFlow ile Resim Sınıflandırma
- TensorFlow ile Duygu Analizi
- TensorFlow ile Yapay Zeka Eğitimi
- 1 Videoda TensorFlow Öğren
- Derin Öğrenme Yol Haritası
- Derin Öğrenme için Yapay Sinir Ağları
- Keras Functional API Kullanımı
- Keras Subclassing API ile Derin Öğrenme Katmanları
- Keras Subclassing API ile Derin Öğrenme Modeli Kurma
- TensorFlow ile Derin Öğrenmeye Giriş
- TensorFlow ile Resim Sınıflandırma
- TensorFlow ile Doğal Dil İşlemeye (NLP) Giriş
- TensorFlow Hub ile Duygu Analizi
- TensorFlow ile Data Pipeline
