I hereby claim:
- I am olaysco on github.
- I am olaysco (https://keybase.io/olaysco) on keybase.
- I have a public key ASCFK4SA14sI4rEKV-nX07QURkMFDJZQq14dN0ed2Tuy3go
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
| @if (session('status')) | |
| <div class="alert alert-success" role="alert"> | |
| {{ session('status') }} | |
| </div> | |
| @endif | |
| <form method="POST" action="{{url('password/email')}}"> | |
| @csrf | |
| <div class="form-group"> | |
| <label for="email" class="col-md-12 col-form-label text-center">{{ __('E-Mail Address') }}</label> |
| <form method="POST" action="{{ route('password.update') }}"> | |
| @csrf | |
| <input type="hidden" name="token" value="{{ $token }}"> | |
| <div class="form-group row"> | |
| <label for="email" class="col-md-4 col-form-label text-md-right">{{ __('E-Mail Address') }}</label> | |
| <div class="col-md-6"> | |
| <input id="email" type="email" class="form-control @error('email') is-invalid @enderror" name="email" value="{{ $email ?? old('email') }}" required autocomplete="email" autofocus> |
| const snake_case = "topLeftRightH".replace(/([A-Z])/g, " $1").toLowerCase().replace(/( )/g,'_'); | |
| // "top_left_right_h" |
| /** | |
| * this function assumes array A and array B have an id key in | |
| * each of their object | |
| **/ | |
| function subtractArray(arrayA, arrayB){ | |
| return arrayA.filter((aElem)=>{ | |
| return !arrayB.find(bElem=>bElem.id === aElem.id) | |
| }); | |
| } |
| POST /v1/flight/create-affiliate-booking HTTP/1.1 | |
| Host: 139.162.210.123:8086 | |
| Authorization: eyJhbGciOiJIUzI1NiJ9.eyJzdWIiOiI3NjkyODc4IiwiaXNzIjoiMTA1LjExMi4yMy4yMCIsImV4cCI6MTU1NjE1NjQzMSwiaWF0IjoxNTU2MTM0ODMxfQ.BxnECT7923KRSHczlq8PbkDNEf_JOeTARS4p0URWedc | |
| accept: application/json | |
| Content-Type: application/json | |
| User-Agent: PostmanRuntime/7.11.0 | |
| Cache-Control: no-cache | |
| Postman-Token: 834025c7-2234-4102-ae0f-d2c525e4dc59,6af60a6c-d268-4f65-b3b0-ca025abc7ff9 | |
| Host: 139.162.210.123:8086 | |
| cookie: NINJA_SESSION=ee4d224607697d4a3be05e505e12fcab85c10e91-___TS=1557500346677&___ID=decccc38-7136-4977-b370-10156a53448b |
| <!-- | |
| On changing the protocol to https the images are now displayed | |
| and the mixed error cleared | |
| --> | |
| <img class="" src="undefined" | |
| data-srcset="https://media.api.timbu.com/img/big/hotel-ibis-lagos-ikeja-lagos-47880.jpg?w=670&h=380&c=1" | |
| alt="Hotel Ibis Lagos Ikeja-0" |
| ''' | |
| Using Bottleneck Features for Multi-Class Classification in Keras | |
| We use this technique to build powerful (high accuracy without overfitting) Image Classification systems with small | |
| amount of training data. | |
| The full tutorial to get this code working can be found at the "Codes of Interest" Blog at the following link, | |
| http://www.codesofinterest.com/2017/08/bottleneck-features-multi-class-classification-keras.html | |
| Please go through the tutorial before attempting to run this code, as it explains how to setup your training data. |