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Same here. Both copies I ordered were not working on arrival. I tried to switch the batteries but they were really stuck in there (can’t easily remove them without bending/breaking), eventually got them out and replaced them but one of the copies still didn't work. Reached out to the creator but he just said try swapping the batteries. I still think the idea of the book is great, just wish the execution and support were better.


Reach out to me again and I can get you a replacement.


Location: Vancouver, Canada Remote: Yes Willing to relocate: No.

I'm an experienced machine learning engineer, software developer, and author of 2 patents in ML/AI. I'm an EGBC-licensed professional engineer and I have a BASc in Mechatronics Engineering and 10 years of overall experience in software development. I've developed and shipped end-to-end machine learning products and features across different platforms (web services, mobile apps, and embedded systems). I enjoy building practical machine learning systems from prototype to production that have a positive impact on people's lives.

Thanks for your time.

Technologies:

DL/ML: PyTorch, Tensorflow, Keras, data pipelines, ONNX, TFLite, Scikit-learn, OpenCV, OpenAI Api, Huggingface Transformers, Librosa, PyWavelets

Mobile ML: Swift, CoreML, iOS development

Data science: Pandas, NumPy, SciPy, Jupyter Notebook, Colab, Seaborn, Chart.js, Streamlit, Airflow, Dagster

Backend: Python, C++, Django, Flask, FastAPI, SQLite, PostgreSQL, REST, Docker

Embedded Software: C, Bare metal software development, TinyML, RTOS, Embedded Linux

Cloud: AWS, GCP, Linode

Website: https://dmitridevaz.com



Seconded, these are amazing.


Clear and concise write-up, thanks for posting. I especially appreciate the comparative graph at the end.

In practice, I tend to use "method 3" most of the time as I feel it has the best balance of complexity and practicality while still being able to deal with label noise.


"Is there plan to support sparse NN influence on mobile devices, such as Arm CPUs?"

"Based on the amount of work for support, it's on our medium to long-term roadmap currently."

https://github.com/neuralmagic/deepsparse/issues/183


And no community pitching in to help with that either.

> Open sourcing of the backend runtime is something we're not planning for the near to medium term. It is something we're actively reevaluating, though, as the company and the industry as a whole grows to see what works best for the needs of our users.


I'm not the author of this work. I just found it earlier today and submitted it. I agree it is awesome.


I like this, thanks.


Along the same lines, I thought this article is really good at building some intuition about the Fourier transform:

http://betterexplained.com/articles/an-interactive-guide-to-...


Have you tried React Native? I remember seeing a demo that looked like it supports hot-loading.



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