Aswin Gopinathan

@GopinathanAswin

Mobile Application Developer 👨‍💻| Mozillian 🦊| Student Placement Coordinator 😎 | Python Enthusiast 🐍 | Deep Learning 🕸 | NLP 🔊 | CV 👀

Vrijeme pridruživanja: prosinac 2018.
Rođen/a 7. prosinca 1999.

Tweetovi

Blokirali ste korisnika/cu @GopinathanAswin

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @GopinathanAswin

  1. 3. velj

    Day 39 : Working on my DeepLearning nanodegree from Udacity. Learned the black box theory of Gradient Deacent and used it to implement a neural network to predict bike sales.

    Poništi
  2. 26. sij

    Day 38 : Continuing my specialization , currently on course 1 week 3. Implemented Logistic regression using mathematical approach, learned about Vectorization and broadcasting using Python.

    Poništi
  3. 24. sij

    Had a wonderful Day 1 of Bootcamp organized by Loooking forward to Day 2 of the event where we pitch our ideas to the Judges and are evaluated on our work done over this period of 3 months !! – mjesto: Google Bangalore

    Poništi
  4. 21. sij

    Day 37: Started with course on Coursera. Learned about the mathematical approach to implementing Logistic Regression using Neural Networks... Alsoo working sleeplessly for the BuildForDigital India Bootcamp on 24th.

    Poništi
  5. 19. sij

    Day 36 : Worked on creating 2 types of Recommender Systems : 1. Content based Recommender systems 2. Collaborative Filtering based Recommender systems. The code for the same can be found in my Github account.

    Poništi
  6. 18. sij

    Day 35: Worked on IRIS Dataset on Kaggle , Implemented Logistic Regression and SVM and compared the accuracy. Check out my kernel at the link below , and do give me suggestions on how to improve it.

    Poništi
  7. proslijedio/la je Tweet

    61 projects across 12 themes have been shortlisted for the bootcamps that will be hosted in 4 cities across the country👏 Gurgaon - Jan 21 & 22 Bangalore - Jan 24 & 25 Kolkata - Feb 3 & 4 Mumbai - Feb 6 & 7 Stay tuned as we share their progress & updates!

    Poništi
  8. 18. sij
    Poništi
  9. 17. sij

    Day 34 : Worked on some classification algorithms such as Decision Tress , KNN , Logistic Regression and SVM. Compared each of these algorithms on a common Dataset on Kaggle :) Compared various algorithms within SVM like RBF , Linear , etc.

    Poništi
  10. proslijedio/la je Tweet
    17. sij

    Fascinating: Generate video from any given audio source. (This method is unique because it is highly dynamic. It does not assume a person-specific rendering network)

    Prikaži ovu nit
    Poništi
  11. 15. sij

    Day 33 : Worked on My NPTEL course on Deep Learning...almost completed week 1... Itss indeed a nice course to learn the basics of DL. Learned how to implement a chatbot using Dialogflow and integrated in my mobile app.

    Poništi
  12. 14. sij

    Day 32 : Started working on an course on Deep Learning. Completed Week 1 of video Series. Learned about the basics of DL , difference bw ML and DL , Feature Descriptors , etc

    Poništi
  13. proslijedio/la je Tweet

    Oh hi, . Nice channel you got there. A playlist of hot vids from our friends at Firebase →

    Poništi
  14. 12. sij

    Day 31 : Worked on Gluon Concepts like Gluon Blocks , Sequential Gluon Blocks For implementing Neural Networks. Then also on the various Evaluation techniques in Gluon. Completed Week 4 of AWS GluonCV course. Implemented a NN for image Classif.

    Poništi
  15. 12. sij

    Sooo excited to be a part of and . One of the best Summer Of Code event im looking forward to participate in 2020.

    Poništi
  16. 9. sij

    Day 30: Worked on a Tennis ball Classifier using GluonCV and MxNet Framework. Worked on the certain topics of GluonCV like ndarrays , blocks. Completed week 3 and 4 of the coursera course :)

    Poništi
  17. 9. sij
    Poništi
  18. 8. sij

    Day 29: Worked with GluonCV for various computer vision tasks like : 1. Image Classification 2. Image Detection 3. Image Segmentation GluonCV literally reduced the work required to perform these operations using traditional methods.

    Poništi
  19. 6. sij

    Day 28 : Continuing with my And Challenge. Started the AWS Computer Vision using GluonCV course in coursera. Completed week 1 and week 2 Learned about Apache MXNet and implemented basic codes using the framework.

    Poništi
  20. 1. sij

    2020: Build a goood profile for myself , help out everyone who needs help getting started. Become a Mentor to beginners in their path to success. Technologies i would like to Explore: Deep Learning Computer Vision Natural Language Processing

    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·