Building a Deep Learning Flower Classifier. How I built a Web App that can classify from five different flowers based on the uploaded image.
After spending some time looking at Deep Learning with TensorFlow and training some models on my own, I decided to make the model meaningful. Making a model and training it is one thing, but deploying it and creating something that even people with no experience can work with is another.
You can learn more about Streamlit on their [website_](https://www.streamlit.io/)._
You can find the source code on my GitHub. Any feedback and suggestions are welcome.
tensorflow==2.2.0 streamlit==0.65.2 numpy==1.19.1 opencv_python==220.127.116.11 Pillow==7.2.0
Due to the computation power required by Deep Learning, creating and training a new model from scratch would be hard and time consuming. So I used a concept called Transfer Learning.
Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial: How to use Keras, a neural network API written in Python and integrated with TensorFlow. We will learn how to prepare and process data for artificial neural networks, build and train artificial neural networks from scratch, build and train convolutional neural networks (CNNs), implement fine-tuning and transfer learning, and more!
In this article, we will learn how deep learning works and get familiar with its terminology — such as backpropagation and batch size
PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.
In this video, Deep Learning Tutorial with Python | Machine Learning with Neural Networks Explained, Frank Kane helps de-mystify the world of deep learning and artificial neural networks with Python!
Complete hands-on Machine Learning tutorial with Data Science, Tensorflow, Artificial Intelligence, and Neural Networks. Introducing Tensorflow, Using Tensorflow, Introducing Keras, Using Keras, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Learning Deep Learning, Machine Learning with Neural Networks, Deep Learning Tutorial with Python