Discover and read the best of Twitter Threads about #tensorflow

Most recents (24)

Neural Network with Flax 🚀🚀🚀

#Flax is a Google #OpenSource Python library for neural network applications for JAX 🌈. While most folks are familiar with Google #TensorFlow and #Keras, 🧵 👇🏼

#DataScience #deeplearning #DL #python Image
While most folks are familiar with Google TensorFlow and Keras, Flax is less known, but it is mainly used by researchers and engineers at Google.

One of the core use cases of this library is for #NLP #Transformers and image recognition applications Image
Among the Flax applications, you can find:
✅ Neural network API (flax.linen): Dense, Conv, Norm, Attention, Pooling, Cell, Dropout
✅ Utilities and patterns: replicated training, serialization and checkpointing, metrics, prefetching on device
✅ Educational examples Image
Read 5 tweets
Hoy en día hay n-maneras de transformar y crear imágenes con algoritmos de #machinelearning; Uno de ésos es #deepdream creado por el ingeniero Alexander Mordvintsev de #Google; seguirlo aquí twitter.com/zzznah Image
Como el algoritmo es open source, se han creado infinidad de apps. Un sitio para jugar con las imágenes es deepdreamgenerator.com
Algunas de mis fotos transformadas usando #deepdreamgenerator, Stone Street, a partir de una foto mía de las calles de Amsterdam Image
Read 12 tweets
Did you know how TensorFlow can run on a single mobile device as well as on an entire data center? Read this thread

1/n

#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data
2/n
Google has designed TensorFlow such that it is capable of dividing a large model graph whenever needed.

#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat #AI
3/n
It assigns special SEND and RECV nodes whenever a graph is divided between multiple devices (CPUs or GPUs).

#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat #AI
Read 9 tweets
2/16

"roc_auc_score" is defined as the area under the ROC curve, which is the curve having False Positive Rate on the x-axis and True Positive Rate on the y-axis at all classification thresholds.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python
Read 16 tweets
Cases of Mokeypox by Location (Casos de Viruela del Mono por Lugar) #MonkeyPox #RStats #IDtwitter #ViruelaDelMono #VirueladelSimio #VarioleSinge #VarioleDuSinge #DataScientist #elcarteldeSINADEF #Analytics $BAVA $BAVA.CO $SIGA #AI #100DaysofCode #AWS #TensorFlow #Python🧵(1/2) Image
Cumulative Cases of Monkeypox per Day (Acumulado de Casos de Viruela del Mono por Día) & Statistical Trend in the Count of Cases (Tendencia Estadística en Casos) #MonkeyPox #ViruelaDelMono #VirueladelSimio #VarioleSinge #VarioleDuSinge #IDtwitter $BAVA $BAVA.CO #RStats 🧵(2/2) Cumulative Confirmed Cases ...
Read 3 tweets
🎓 #Google propose plusieurs cours officiels, 𝒈𝒓𝒂𝒕𝒖𝒊𝒕𝒔 et 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗲́𝘀. 🔥

💻 Tous sont liés au monde numérique, digital et technologique.

#Marketing, #Sécurité, #Apps...

Profitez-en
Formation sur le marketing digital

Ce cours offert, 𝙖𝙫𝙚𝙘 𝙘𝙚𝙧𝙩𝙞𝙛𝙞𝙘𝙖𝙩𝙞𝙤𝙣 de l'@iab (Interactive Advertising Bureau), permet de maîtriser les principes de base du #marketing numérique.
learndigital.withgoogle.com/ateliersnumeri…
🎼 Gestion et croissance sur #Youtube

Cours avec 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗬𝗼𝘂𝘁𝘂𝗯𝗲 pour les partenaires permettant de gérer de la musique, des entreprises, des médias et des partenaires d'identification du contenu sur YouTube
skillshop.exceedlms.com/student/catalo…
Read 13 tweets
2/16

"roc_auc_score" is defined as the area under the ROC curve, which is the curve having False Positive Rate on the x-axis and True Positive Rate on the y-axis at all classification thresholds.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python
Read 17 tweets
The evolution of data processing frameworks.

Knowing how these frameworks have evolved can help you understand the typical problems that arise, and how they're addressed.

As the Internet grew, Google invented new data processing methods.

🧵

#GCP #google @google @googlecloud
In 2002, Google created GFS, or the Google File System to handle sharding and storing petabytes of data at scale.

GFS is a foundation for cloud storage, and also for what would become BitQuery managed storage.

🧵

#GCP #google @google @googlecloud
One of the next challenges was to figure out how to index the exploding volume of content on the Web.

To solve this, in 2004 @Google invented a new style of data processing (MapReduce) to manage large scale data processing across large clusters of commodity servers.

🧵

#GCP
Read 9 tweets
1- İlk flood'umuz gelsin

@Superalgos Nedir ⁉️
@Superalgos , kripto market araştırma ve ticaret otomasyonu platformudur. Platformun amacı, ticaret zekası üretmek ve bunun için gereken tüm önemli unsurlrı birbirlerine entegre etmektir.

#BTC #ETH #kriptoparalar #Crypto #superalgos
2- Bilgiden maksimum değeri çıkarmaya ve akıllı stratejiler oluşturmaya izin veren, her şeyi kapsayan bu entegrasyondur.

#superalgos, çoğunlukla sağlam, esnek ve güçlü araçlar arayan kullanıcılara yöneliktir. Geniş bir sistemdir.
3- Size piyasada avantaj sağlayacak #ticaret #botları geliştirmek istiyorsanız, #Superalgos'un açığa çıkarabileceği gücü denemelisiniz. Ancak söylemeliyiz ki #Superalgos , hafta sonu ustalaşabileceğiniz basit bir plug-and-play bot değildir.
Read 64 tweets
Are you looking to start with 𝐊𝐮𝐛𝐞𝐟𝐥𝐨𝐰 🌈? check this step by step installation guide for Windows by Ashish Patel 🧵👇🏼

github.com/ashishpatel26/…

#MLOps #ML #Kubernetes Image
Kubeflow is an open-source #MLOps tool that provides toolkits for the deployment of machine learning workflows on #Kubernetes 🚀. Supports core data science tools such as Jupyter notebooks, training ML models such as #TensorFlow, #PyTorch, #XGBoost, setting pipelines, etc
The guide covers:
- #Docker installation
- Installation of Choco
- Installation and setting of Hyper-V
- Installation of #MiniKube and #Kubectl
Read 5 tweets
New book for Bayesian statistics with #Python! 📚📊🚀
The Bayesian Modeling and Computation in Python by
@aloctavodia, @canyon289, and @junpenglao provides an introduction to Bayesian statistics using core Python libraries for Bayesian 🧵 👇🏼

#bayesian #MachineLearning #stats ImageImageImage
The book covers the following four topics:
- Bayesian Inference concepts
- Bayesian regression methods for linear regressions, splines,
- Time series #forecasting
- Bayesian additive regression trees
- Approximate of Bayesian computation
The book's authors are the contributors of PyMC3, ArviZ, Bambi, #TensorFlow Probability, and other #Python libraries:
PyMC3 - docs.pymc.io/en/v3/
Tensorflow Probability - tensorflow.org/probability
ArviZ - arviz-devs.github.io/arviz/
Read 6 tweets
*Neural networks for data science* lecture 8 is out!

And it's already the last lecture! 🙀

What lies beyond classical supervised learning? It turns out, _way_ too many subfields!

/n
Here is my overview of everything that can happen when we have > 1 "task": fine-tuning, pre-training, meta learning, continual learning...

The slides have my personal selection of material. 😎

/n
The slides are here: sscardapane.it/assets/files/n…

All the material, as always, is here: sscardapane.it/teaching/nnds-…

/n
Read 4 tweets
Pandas is a fast, powerful, flexible and open source data analysis and manipulation tool.

A Mega thread 🧵covering 10 amazing Pandas hacks and how to efficiently use it(with Code Implementation)👇🏻
#Python #DataScientist #Programming #MachineLearning #100DaysofCode #DataScience
1/ Indexing data frames
Indexing means to selecting all/particular rows and columns of data from a DataFrame. In pandas it can be done using two constructs —
.loc() : location based
It has methods like scalar label, list of labels, slice object etc
.iloc() : Interger based
2/ Slicing data frames
In order to slice by labels you can use loc() attribute of the DataFrame.

Implementation —
Read 17 tweets
Projects Alert : 140 Python Projects with Source Code
You don't have to go to a university or pay hefty tuition to learn ML when you can learn for FREE.

An extensive list of 100+ Most Valuable Github Repository for ML, beginner to advanced.
theinsaneapp.com/2021/09/best-g…
#Python #DataScientist #Programming #Machinelearning #100DaysofCode
Read 5 tweets
10 Amazing Advanced Python Constructs that you can use to write efficient and clean Code
A Thread 🧵👇🏻
#Python #TensorFlow #DataScientist #Programming #Coding #100DaysofCode #DataScience #AI #MachineLearning
1/ DefaultDict
In python, a dictionary is a container that holds key-value pairs. Keys must be unique, immutable objects. If you try to access or modify keys that don’t exist in the dictionary, it raise a KeyError & break up your code execution ( continued..)
2/ (Continued..)To tackle this issue,Python defaultdict type, a dictionary-like class is used.If you try to access or modify a missing key,then defaultdict will automatically create the key & generate a default value for it
A defaultdict will never raise a KeyError ( Continued..)
Read 18 tweets
The Chinese Social Credit Score System - In Theory & Practise:

This is a rare glimpse into the surveillance tech used in China to determine your human "parameters" via big data.

#OpenCV #AugmentedReality #AI #Tensorflow

github.com/opencv/opencv

Read 35 tweets
Two large #antitrust probes in the same screenshot that relate to #Genomics and #Bioinformatics
(1) Possible buyout of #ARM by #NVIDIA does have an effect on the #Bioinformatics field: many applications now are deployable on CPU/GPUs with #ARM and/or #NVIDIA chips on them. Some recent examples are:
(a) the Oxford @nanopore MinION Mk1c device, which originally was specced at Jetson TX2 ARM+Pascal GPU accelerators (ARM processor 6 cores, 256 Core GPU), 8 GB RAM (may have changed since then.
Read 42 tweets
1/

Thread of the very best #YouTube channels and #Twitter accounts to follow for:

#AI/ #ML, #DeepLearning, #neural and all things #datascience

bit.ly/3g8pVDL

#AI #machinelearning @wiserin10 #datascience #bigdata #artificialintelligence
2/

@Analyticsindiam

Analytics India Magazine includes discussions on news, tips for the data ecosystem and a deep dive into #AI/#ML, #deeplearning and #neural networks

#YouTube subscriber count: 38k
3/

@Krishnaik06

Krish Naik is co-founder of iNeuron.ai and specialises in #machinelearning, #deeplearning, and computer vision. Krish’s #YouTube channel is a deep dive into all things #AI/#ML, perfect for beginners

YouTube subscriber count: 421k
Read 15 tweets
Hugging Face Transformers

Building transformer architecture remains an incredible challenge.

Hugging Face Transformers is one of the most popular and advanced frameworks for Transformer architectures.
⬇️1/3 Image
Hugging Face Transformers provides

- implementations of 100s of pre-trained transformer models
- APIs to quickly download and use
- implementations for both #PyTorch and #TensorFlow
2/3
This is a thread from Edge#111 – our series about transformers.

Keep learning every day. Subscribe to our Twitter @TheSequenceAI.
3/3
Read 3 tweets
Incoming Tweet Storm ⛈

I'm so happy to announce my #TensorFlowJS book with @OReillyMedia

The book is geared towards #JavaScript devs looking to learn #AI / #ML

1/5

amzn.to/3dR3vpY
It's been a complete pleasure to work with #OReillyMedia

They are professionals, but they let me keep my personality which I feel is critical to all the #CodeNewbie folk in #tech.

2/5
I've learned a lot from the #DEVCommunity.

@TensorFlow is a new way of thinking for most #JSdevs. So each chapter opens with a quote and ends with a challenge.

I found it was important to get your hands dirty as early as possible to make the content engaging and fun 🎉🎉

3/5
Read 5 tweets
Day 14 #31DaysofML

🤔 How to pick the right #GoogleCloud #MachineLearning tool for your application?

Answer these questions
❓ What's your teams ML expertise?
❓ How much control/abstraction do you need?
❓ Would you like to handle the infrastructure components?

🧵 👇
@SRobTweets created this pyramid to explain the idea.
As you move up the pyramid, less ML expertise is required, and you also don’t need to worry as much about the infrastructure behind your model.

To lear more watch this video 👉

#31DaysofML 2/10
@SRobTweets If you’re using Open source ML frameworks (#TensorFlow) to build the models, you get the flexibility of moving your workloads across different development & deployment environments. But, you need to manage all the infrastructure yourself for training & serving

#31DaysofML 3/10
Read 10 tweets
Encouraging! #AppleM1 Silicon (MBA) smokes my 2017 MBP15" i7 on #rstats #tidverse tidymodels hotel example, random forests (last fit 100 trees). Experimental arm-R build = extra speedup. Thanks @fxcoudert for gfortran build & @juliasilge @topepos + team for the nice API + DOC.
And it’s wonderful to see that essential R packages are working on the M1 platform.
Another implication might be that 4 cores are a good default for parallel processing with this configuration. The original tidymodels example would select 8 cores here. tidymodels.org/start/case-stu…
Read 9 tweets
Want to become a Data Scientist? Here are some great resources that you should watch in order;Statistics & Linear Algebra Not Included 🧵
#100DaysOfCode #100DaysOfMLCode #DataScience #AI #MachineLearning #ArtificialIntelligence #ML #Coding #Coders #PyTorch #Tensorflow #Developer
Part 1 of Microsoft's Intro to Python Series:
Gets you up and running in python and introduces you to the basics of setting up your development environment.
youtube.com/playlist?list=…
Continuation of the series above.
youtube.com/playlist?list=…
Read 17 tweets

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