Neural Style Transfer - Be world's best painter in 10 minutes! {Hands On}

[ParthikB]

• Abstract (2-3 lines) Neural Style Transfer is a technique using which one can convert there own pictures into amazing artistic pieces! It uses one Content Image and one Style Image (which is usually a painting) and then applies the composition of the Style Image to the Content Image.

• Brief Description and Contents to be covered Contents I'll cover: 1) Convolutional Neural Network 2) Transfer Learning 3) Feature Extraction

• Pre-requisites for the talk 1_ Knowledge of Python 2) A little knowledge of Tensorflow/keras, optional.

• Time required for the talk 20-25 minutes (including hands-on)

• Link to slides https://docs.google.com/presentation/d/1FuxoCeRjZUAltajVsObHLaqcdYwLnvMgNjJK-n4IVfg/edit?usp=sharing

• Will you be doing hands-on demo as well? YES!

• Link to ipython notebook (if any) https://colab.research.google.com/drive/1yHid1AHHp7c4jBexxtrEu-kOmxAVwz8m

• About yourself I'm a student currently pursuing Engineering sadly not in Computer discipline but my love for the advancing technologies has bought me in the arena of Artificial Intelligence and Machine Learning. I'm a determined Machine Learning enthusiast, specifically Deep Learning, who's working his way up this ladder with each passing hour in parallel with the Electronics discipline I'm enrolled in. Currently looking for any opportunity related to this field, expand my knowledge, network and most importantly, to have fun! In a nutshell, I'm a friend first, determined second and probably entertainer third.!

• Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ? Yes, why not!

• Any query ? Not as of now.

[MSanKeys963]

Please have a look @shagunsodhani.

[shagunsodhani]

Hi @ParthikB Thank you for the proposal. Could you please give me edit access to the doc (so that I can make comments there). I have already sent a request.

[MSanKeys963]

Hi @ParthikB. Please give edit access of slides to @shagunsodhani for further reviewing.

[ParthikB]

Hi @ParthikB Thank you for the proposal. Could you please give me edit access to the doc (so that I can make comments there). I have already sent a request.

Hi @shagunsodhani , @MSanKeys963 I'm really sorry to reply this late, I got caught up in family situation. Anyways, I've open the doc to 'edit access' and please consider my talk for the next PyData Meetup. Thank you.

[shagunsodhani]

@ParthikB I have added my comments. Best of luck for the talk.

[ParthikB]

@shagunsodhani , thanks for the review. I've updated the doc. Eager to know your thoughts about it. Thank you.

[shagunsodhani]

Hi @ParthikB I have replied on all the open comments :)