- Tensorflow and AI meet and greet at PCM. Cryptocurrency blockchain buzzwords!
PCM Tokyo Building TOKIA 1F
Looking to get everyone together for the first meeting of the year with a general meet and greet at PCM in Marunouchi. No particular topics of discussion, just spirited conversation with the rest of the group and looking to plan for upcoming meetings this year. And yes, we can talk about crypto as well. We will look to meet in the outside space (with heaters if needed) and drinks and food can simply be purchased at the bar.
- Market Prediction using TensorFlow
Join us for a talk on Machine Learning market prediction. - Can ML predict the market? - Can you make money from buying and selling at the right time? Join us to find out! This is a one-time only presentation. This will not be recorded. We now have a semi-permanent home for our meetings going forward, with a significantly increased capacity. The location is just 1 minute from Hanzomon station, exit 1 or 2, on the 5th floor. There is a map located HERE (https://goo.gl/maps/6PoQe2VGyUR2) Please note that there is a ¥500 charge to cover the meeting location, drinks, and snacks. Please do your best to bring exact change, there is a convenience store just outside that will be more than happy to assist you if needed. Looking forward to seeing you all there!
- Keep Calm and Do Machine Learning
Whether you're working on machine learning during the day or in your free time, take this opportunity to meet other researchers and engineers. Good chance to converge, add some noise to your neurons, network with your peers, get some knowledge transfer and go deeper into machine learning topics with interesting talks. This event is co-organized with the Tokyo Machine Learning Kitchen group (https://www.meetup.com/tokyo-machine-learning-kitchen/). Schedule: • 19:00 Doors open • 19:20 Welcome and introduction by Edmund Gehringer • 19:30 Backpropagation by Yann LeGuilly • 19:50 --BREAK for FOOD and DRINKs-- • 20:00 Reinforcement Learning by Ashley Smart • 20:30 English to Katakana by Wanasit Tanakitrungruang • 21:00 --Networking time!-- • 22:00 --CLOSING TIME--
- Machine Learning Topics (With Machine Learning Kitchen group)
Good news Everybody! The ML Kitchen (https://www.meetup.com/tokyo-machine-learning-kitchen/) and Tensorflow Tokyo (https://www.meetup.com/tokyo-machine-learning-kitchen/events/239631655/) groups are joining forces to gather a lot of smart, interesting people doing Deep Learning in Tokyo in one room and provide them awesome food and drinks. This is the perfect chance to do some networking with your peers, practice some transfer learning and go deeper into machine learning topics with interesting talks. Tensorflow keeps showing up in media and research papers. Need to translate some kanji? There's a Tensorflow model for that! Judging your lunch photo? Turn Monet into Picasso and back? There's a Tensorflow model for that too. But it has a steep learning curve. How to turn photos into tensors? How to make a simple model? How to run a model someone else made? You don't need a PhD in Deep Learning to get started, but you could use some exchange with people who have already gone through this. Have we mentioned awesome Cookpad-cooked food and drinks? Schedule: • 19:00 - Doors Open • 19:20 - "Quick start for Tensorflow" by Bing Qian • 19:40 - Drinks, food, networking break • 20:00 - "Is it Food?" by Matt • 20:20 - BREAK • 20:30 - "Make your data Grab-and-Go" by Yuichiro Someya • 20:50 - "Illustrated guide to image manipulation" by Leszek • 22:00 - Event ends
- Working with Keras
It's time to meet again to end the winter on a high note. We have a new venue in Ebisu for us to use. Light snacks will be provided by Cookpad and, as usual, we will have drinks sponsored by Ahead Consulting, our sponsor. Presentations: • Rapid Prototyping with Keras on Tensorflow • Shameful story of getting a PR approved in Keras code • Tensorflow Dev Summit
- Deep Learning Webinar
In conjunction with sibling TensorFlow Meetups, we invite you to attend a Deep Leaning Webinar on Feb 28 19:00JST (how convenient is that?!) https://goo.gl/tIiJwX No need to RSVP here, but it is recommended you RSVP following the link. Hope to see you there! Agenda: Searching for anomalous network flows is a challenging task due to the wide statistical variety of network behavior Overview of past applications of Machine Learning to network anomaly detection The advantages and challenges of a Deep Learning approach Handling categorical data in Deep Learning
- 2017 First TensorFlow Gathering
It's 2017! Wow! This Meetup has grown to over 700 members! Let's celebrate by meeting up for a general hobnob with fellow TF/ML enthusiasts. Join us for drinks and munchers. A small (one-coin) fee of 500yen for entry to cover venue and complementary food and drinks. No prepayment necessary. As an aside, for future meetups, we're still looking for members who'd like to share a demonstration of their TensorFlow prowess to our members. Please contact the organizers. Looking forward to seeing you there!
- TensorFlow Case Studies
Happy summer to all organically organized neural networks. A long search has resulted in finding a new set of TF applications from great human minds. * Fabian Dubois: Tensorflow in production with AWS lambda (20 mins) * Khor: Convolutional Neural Network (CNN) with Tensorflow (20 mins) Capacity limitations are strictly enforced--few spots available--RSVP early! Agenda: 1900: Venue open for reception and networking 1930: Presentation starts 2030: Post-presentation networking 2100: See you next time!
- Cozy Presentation G3
Fitness Function Heuristics mandate that successful steps be repeated. Evolutionary Algorithm imposes mutation in the next generation. Please join us for the usual snacks, drinks and enticing discussion about TensorFlow. As usual, we will prepare the next module in Khor's curriculum: Gentlest Introduction to TensorFlow. Physical buffer space limitations apply. Limited. RSVP. Fast => good. Directions: Please follow the map as attached, and go to the 6F.
- Cozy Presentation G2
Fitness Function Heuristics dictate that successful steps be repeated. Evolutionary Algorithm imposes mutation in the next generation. Please join us for the usual snacks, drinks and enticing discussion about TensorFlow's footprint in Tokyo. We will prepare a follow up presentation to Khor's Gentlest Introduction. Physical buffer space limitations apply. Limited. RSVP. Fast => good. Directions: Please follow the map as attached, and go to the 6F.