Name: Arunkumar Venkataramanan
Type: User
Company: @Deep-Brainz, Tech Founder and Product Leader
Bio: Tech Product Manager and Architect | Serial Entrepreneur, AI Innovator, Founder, CEO, Chief Technologist, Product Leader at @Deep-Brainz AI and Stealth Startup
Twitter: arunkumar_bvr
Location: Bangalore, India
Blog: https://arunkumarramanan.github.io
Arunkumar Venkataramanan's Projects
💻 👩💻 Personal walkthrough of the Foundations path for Google's Tech Dev Guide.
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
Path to Tech Lead: How to be a tech lead ? 迈向 Tech Lead 之路
These are coding solutions for problems I study while preparing for technical interviews at tech companies
Coding interview preparation :sparkles:Includes algorithms, data structures & big-🙃complexities :rocket:
A library for generalized sequence to sequence models
TensorFlow's Visualization Toolkit
A domain specific language to express machine learning workloads.
Computation using data flow graphs for scalable machine learning
中文的 tensorflow tutorial with jupyter notebooks
TensorFlow Tutorials
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
My personal reference for Tensorflow
Simple and ready-to-use tutorials for TensorFlow
TensorFlow Tutorial and Examples for Beginners with Latest APIs
源码实现:《TensorFlow实战》黄文坚,唐源 著
"Deep Learning with TensorFlow" LiveLessons
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
A best practice for tensorflow project template architecture.
Implementations of deep RL papers and random experimentation
Simple tutorials using Google's TensorFlow Framework
TensorFlow Tutorials with YouTube Videos
Guide for both TensorFlow and PyTorch in comparative way
A TensorFlow implementation of DeepMind's WaveNet paper
Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation