Image Classification Tutorial Series introductory video (using keras,CNN,deep neural networks)
Hello Viewers,
Welcome to Automation Anomaly!
Today's video is all about exciting announcement of making a complete tutorial video series on Image Classification using deep neural networks and particularly we are going to concentrate on concepts of CNN (Convolutional Neural Networks) and it's architecture to make a image classifier.
This series is use full for all people who are coming from non programming background, students, researchers, for project building and for those who want to learn the new technology of AI, Machine Learning and Neural Networks.
So let me give you quick snapshot of some topics which I am going to cover in this series:
1) MNIST hand written digit dataset classifier (using simple neural network)
2) MNIST hand written digit dataset classifier (using CNN)
3) MNIST Fashion datasets classifier
4) Dog VS Cat Image classifier
5) Fire VS Nature Image classifier (Homework)
6) Dog vs Cat Image classifier using VGG-16
7) CIFAR-10 Image Classifier
8) Architectures of LeNet, AlexNet, Inception and different types of models for image classification
9) Google's Teachable Machine
10) BONUS video on Image Classification
Till now I guess you might be excited and ready to make your own Image Classifier so let's do it in this upcoming Image Classifier series. If want me to add any particular topic then please throw your suggestions into the comment box because I want to make this image classification tutorial a complete package to build your own Image Classifier from scratch.
If you are new to python programming or if you are beginner in Neural Networks, CNN and machine learning then don't worry guys I will be explaining all required functions in this series. Moreover, I give more importance to practical implementation over theoretical information so together we are going to break down all complicated logic to make it understandable. Just give you quick idea of upcoming series so I will make tutorial video on each python libraries so that way you can go back and forth to understand easily the practical implementation of each function and by doing reverse engineering we can learn each and every concept with better understanding.
At last, if you want to notify at earliest then please subscribe to this channel. Also, if you like my description and video then give a big thumps up to encourage me to make more tutorial videos.
Thank you for watching this video.
Stay home stay safe.
-Automation Anomaly