Skip to content

Instantly share code, notes, and snippets.

Abhishek Goswami abgoswam

Block or report user

Report or block abgoswam

Hide content and notifications from this user.

Learn more about blocking users

Contact Support about this user’s behavior.

Learn more about reporting abuse

Report abuse
View GitHub Profile
def get_batch(x, y, batch_size):
# print("x shape : {0}".format(x.shape))
# print("y shape : {0}".format(y.shape))
n_samples = x.shape[0]
indices = np.random.choice(n_samples, batch_size)
return x[indices], y[indices], indices
# clear old variables
X = tf.placeholder(tf.float32, [None, 32, 32, 3], name="Input")
# Our application logic will be added here
def cnn_model_fn(features, labels, mode):
"""Model function for CNN."""
# Input Layer
input_layer = tf.reshape(features["x"], [-1, 32, 32, 3], name="input_tensor")
# Convolutional Layer #1
conv1 = tf.layers.conv2d(
# -*- coding: utf-8 -*-
Created on Mon Jul 17 13:13:26 2017
@author: agoswami
class Car(object):
def factory(type):
abgoswam / csharpserver_dotnet_namedpipe.cs
Created Jul 13, 2017
C# Server using .NET Core Named Pipes
View csharpserver_dotnet_namedpipe.cs
using System;
using System.IO;
using System.IO.Pipes;
using System.Text;
class PipeServerBinary
static void Main()
using (NamedPipeServerStream pipe = new NamedPipeServerStream("testpipe"))
abgoswam /
Created Jul 13, 2017
Python Client on Linux Using a .NET Core Named Pipe (via unix domain sockets)
# -*- coding: utf-8 -*-
Created on Wed Jul 12 19:06:38 2017
@author: agoswami
import socket
import sys
View Tutorial1.ipynb
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
You can’t perform that action at this time.