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Ibrahim Ahmed atbe

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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

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"""
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.
@atbe
atbe / index.ts
Created July 1, 2017 18:18
Firebase Functions - Attaching the /users Router
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");