Hey guys, have a good day. hope you all safe and healthy. In these days, I started learning about the machine learning,  because future will be the AI, Deep learning and Machine learning.  I done some image classification examples, I pushed in github. you can see and try that. I tried in flutter platform to do image classification using tensorflow lite. Using  tflite  library, I achieved this. In this image classification, I've done following things: 1. Cat vs Dogs. 2. Gender Classification. 3. Flower Classification. 4. Fruits Classification. You can view this example in Github . Kindly try and give your feedback. 

 Today will see about the ANN, CNN and RNN. ANN(Artificial Neural Network): ANN is known as Feed Forward Neural Network. ANN always proceeds only in forward direction. ANN is used to solve, 1. Tabular Data, 2. Image Data, 3. Text Data Why ANN: Storing information of whole network  Work with incomplete knowledge. Fault tolerance Distributed memory CNN(Convolutional Neural Network): CNN is used across different applications and domains. They're especially used in image and video processing projects. Why CNN: High Accuracy. Automatic detection without human help. RNN(Recurrent Neural Network): RNN is highly used in text and audio processing, RNN captures the sequential present in input data. Why RNN: Useful for timeline series. Parameter sharing. CNN is considered more efficient than ANN and RNN. RNN having less features than CNN.

Hey guys, have a good day. Hope everyone safe and healthy.  Today we can see the what's the Machine Learning and Artificial Intelligence. Machine Learning: Machine learning is an application of AI that makes a system able to do their job automatically by user’s action (Example: on or off the lights when they enter the room) or without user’s interaction. Machine learning categorized into: 1. Supervised machine learning 2. Unsupervised machine learning 3. Reinforced machine learning Artificial Intelligence: Artificial Intelligence is a computer program which think better than a human and serving to human by more convenient ways. Most of peoples think in future, this AI would be dominate human race. (soon we can see terminator movie scenes).  AI can be classified into three types: 1. Weak AI. 2. General AI. 3. Strong AI. Differences between Machine learning and AI has been clearly explained in javapoint , please visit and know about more.

Have a good day guys. On our previous post, we saw some small intro about the tensorflow.  Now we're going to see, how we will implement the into the flutter. You have to add this library in your flutter project. better visit pub.dev and learn about tflite Include into your project and start exploring it.  Definitely you need to some datasets for tflite model, image and lots of datasets available in kaggle . If you're good in python, you can use google colab or jupyter notebook for converting your model into tflite model. Wait wait It's not finish, If you want to train your image dataset or you want to make your own image dataset model into tflite model, google offers some services. That's called teachable machine . you can create your own class model and set the epochs, then get your model as tflite. After that you can even test your model alive. that's a beauty of teachable machine.  Not just only for image models, you can do with audio and live pose classificat

Hey guys, Today we gonna we see some introduction of tensor flow. In near future, machine learning would be big impact in IT industry. Now most of developers didn't have any attention about the artificial intelligence, deep learning and IoT. Soon they will adapt. Here after this will be future. Ready to see terminators and aliens in your life soon. So better prepare it.  What is TensorFlow? It's an open source platform to develop machine learning. You can easier to create the models in Jupyter  or Google Colab . For web solution you can go with TensorFlow.js For mobile and IoT solutions, you can go with TensorFlow Lite. In our blog, you can see more about tensor flow and machine learning in future posts. Please subscribe and get the alerts.

 Hey guys, have a good day. In this year, most of times I used to study a lot of things. Not just study only, more over try something different. This time, I tried to make some sample app based on zomato clone.   App has been developed using BLOC architecture and having more features. 1. Get current location 2. Using dio library. 3. Using connectivity library. 4. Awesome left hand side menu. 5. Sliver app bar. Kindly check and give your feedback. For using the zomato services, please sign-up and get the app key. Per day 1000 free requests you made it that.  Here you check it from my github