I hereby claim:
- I am atbe on github.
- I am atbe (https://keybase.io/atbe) on keybase.
- I have a public key ASCqtE-kTmJSG-s-v0E9Y8yLelO32_k1w2hw8tS9PrOyqQo
To claim this, I am signing this object:
vitals.vercel-insights.com/v1/vitals:1 | |
Failed to load resource: net::ERR_BLOCKED_BY_CLIENT | |
VM247:1 MetaMask no longer injects web3. For details, see: https://docs.metamask.io/guide/provider-migration.html#replacing-window-web3 | |
get @ VM247:1 | |
vitals.vercel-insights.com/v1/vitals:1 | |
Failed to load resource: net::ERR_BLOCKED_BY_CLIENT |
openapi: 3.0.0 | |
servers: | |
- description: API to serve banking industry data to the public. | |
url: 'https://banks.data.fdic.gov/api' | |
info: | |
description: API to serve banking industry data to the public. | |
version: 0.1.0 | |
title: FDIC Bank Data API (Beta) | |
contact: | |
email: PublicDataFeedback@fdic.gov |
I hereby claim:
To claim this, I am signing this object:
""" | |
Module of SLIM models of LSTM RNNs. Uses the layer LSTM in Keras2.1 to generate | |
inherited layers of reduced gated and cell parameters. | |
LSTM1 | |
LSTM2 | |
LSTM3 | |
LSTM4 | |
LSTM5 | |
LSTM6 | |
There are more parameter-reduced models as appeared in arXiv.org: |
In this chapter we'll write a computer program implementing a neural network that learns to recognize | |
handwritten digits. The program is just 74 lines long, and uses no special neural network libraries. But | |
this short program can recognize digits with an accuracy over 96 percent, without human intervention. | |
Furthermore, in later chapters we'll develop ideas which can improve accuracy to over 99 percent. In fact, | |
the best commercial neural networks are now so good that they are used by banks to process cheques, and by | |
post offices to recognize addresses. |
In this chapter we'll write a computer program implementing a neural network that learns to recognize | |
handwritten digits. The program is just 74 lines long, and uses no special neural network libraries. But | |
this short program can recognize digits with an accuracy over 96 percent, without human intervention. | |
Furthermore, in later chapters we'll develop ideas which can improve accuracy to over 99 percent. In fact, | |
the best commercial neural networks are now so good that they are used by banks to process cheques, and by | |
post offices to recognize addresses. |
In this chapter we'll write a computer program implementing a neural network that learns to recognize | |
handwritten digits. The program is just 74 lines long, and uses no special neural network libraries. But | |
this short program can recognize digits with an accuracy over 96 percent, without human intervention. | |
Furthermore, in later chapters we'll develop ideas which can improve accuracy to over 99 percent. In fact, | |
the best commercial neural networks are now so good that they are used by banks to process cheques, and by | |
post offices to recognize addresses. |
In this chapter we'll write a computer program implementing a neural network that learns to recognize | |
handwritten digits. The program is just 74 lines long, and uses no special neural network libraries. But | |
this short program can recognize digits with an accuracy over 96 percent, without human intervention. | |
Furthermore, in later chapters we'll develop ideas which can improve accuracy to over 99 percent. In fact, | |
the best commercial neural networks are now so good that they are used by banks to process cheques, and by | |
post offices to recognize addresses. |
In this chapter we'll write a computer program implementing a neural network that learns to recognize | |
handwritten digits. The program is just 74 lines long, and uses no special neural network libraries. But | |
this short program can recognize digits with an accuracy over 96 percent, without human intervention. | |
Furthermore, in later chapters we'll develop ideas which can improve accuracy to over 99 percent. In fact, | |
the best commercial neural networks are now so good that they are used by banks to process cheques, and by | |
post offices to recognize addresses. |
import * as express from "express"; | |
import * as admin from "firebase-admin"; | |
import * as functions from "firebase-functions"; | |
import * as usersApi from "./api/users"; | |
admin.initializeApp(functions.config().firebase); | |
const app = express(); | |
// https://expressjs.com/en/advanced/best-practice-security.html#at-a-minimum-disable-x-powered-by-header | |
app.disable("x-powered-by"); |