This is the third course of total five courses for obtaining "Deep Learning Specialization" on "Coursera" platform by Andrew Ng which is provided by "deeplearning.ai".


This course explains how to build a successful machine learning project. This course also has two "flight simulators" that let the students practice decision-making as a machine learning project leader. This provides industry experience.

This course explain the low level concept of:

1. Understanding of diagnosing errors in a machine learning system.
2. Prioritizing the most promising directions for reducing error.
3. Understanding of complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance. 
4. Applying end-to-end learning, transfer learning, and multi-task learning.

Welcome to Interior Design VR 0.1. Its an exiting Cardboard VR game to explore your creativity. This is a initial release.
Get it on Google Playstore from here.



This app allow you to explore your creativity through virtual reality. There are many options to customize the environment and enhance your creativity. It gives you a real life experience.

How to play:
- Required Handset with Gyroscope sensor.
- Required Cardboard HMD (Head Mounted Display) with a button for selection.
- For bluetooth controller switch to "@+D" (if applicable).
- Initiate the room size.
- For select a button in VR mode rotate your head, target the gaze on the button and press it one time to select. Perform your operation and press second time to deselect.
- Instantiate Furniture Object by press on the floor.
- Place it in your desired location by "Translate" or "Rotate" button. Target the gaze on the furniture, press+hold and rotate your head.
- Delete Furniture if you want by press on the furniture.
- Change the Color of your Furniture or Wall by press on Furniture or Wall.
- Change the Texture of your Wall by press on Wall.
- Set the Environment Mood by press and hold on increasing or decreasing Light options.
- Explore Environment by "Walk" or "Teleport" option. For walk press and hold on the direction. For teleport press on floor to move.
- Save image of your Environment to your Phone Gallery. For 360 just press on the button, wait for a while to generate the image. For custom view select and hold on the "Snapshot" button, rotate your head to set the view and release to capture.

Features:
- Initialize Room dynamically.
- 36 different type of objects.
- Color and Texture options.
- Custom Light intensity options.
- Save 360 image or custom view screenshot.
- Voice Instructions (Optional).

By default 360 image does not include the EXIF data for other platforms recognizing it as 360 image. You need to manually include the EXIF data.

Enjoy your Creativity!

This is the second course of total five courses for obtaining "Deep Learning Specialization" on "Coursera" platform by Andrew Ng which is provided by "deeplearning.ai".

Rather than the deep learning being a black box, this course explains what drives performance and how to get good results with industry best-practices.

This course explain the low level concept of:

1. Effective uses of the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking.
2. Application of variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence.
3. The best-practices for the deep learning era how to set up train/dev/test sets and analyze bias/variance

Besides this course also includes application of neural networks in TensorFlow as well as with raw code.

Verify the certificate here.

This mobile application was developed as an assignment project for a credit course of PGDIT Degree.
The application scan a barcode using ZxingScanner library using Android Studio, fetch data from api using Volley and manipulate data in order to track expiry date for user.
Project link on Github can be found here.

This course is likely more advance course on Artificial Intelligence. As the Machine Learning course by Andrew Ng on "Coursera" had given me a strong foundation, I was able to accomplish this extended version of the course.

This is the first course of total five courses for obtaining "Deep Learning Specialization" on "Coursera" platform by Andrew Ng which is provided by "deeplearning.ai".

This course explain the underlying concept of Neural Network (NN) such as Neural Network Layers, Hidden Layers, Linear function, Activation function, Parameters, Hyper-parameters, Forward-Propagation, Cost function, Gradient-descent, Backward-Propagation etc.

Besides the lectures by Andrew Ng (as usual amazing), the programming assignment were structured and organized in a way that will help anyone to get the complicated concept easily as ever possible.

Verify the certificate here.