Md. Muhaimin Rahman sezan92

## PASCAL VOC labels
Person
Car
Bicycle
Bus
Motorbike
Train
Aeroplane
Chair
Bottle
Dining Table

## Remove_notebook_checkpoints.sh
rm -rf `find -type d -name .ipynb_checkpoints`

## mpc.py
import json
import asyncio
import websockets

def _check_mode(msg):
    return  "Auto" if msg and msg[:2] == '42' else "Manual"

def _parse_telemetry(msg):
    msg_json = msg[2:]
    parsed = json.loads(msg_json)

## gist:e488acf165b740d0e492f9254772a605
"""
I was having a problem of CUDNN HANDLE ERROR IN CONVOLUTIONAL NEURAL NETWORK USING TENSORFLOW 1.14 GPU
MY ENVIRONMENT, Corei7, Ubuntu 18.04, RTX 2070 Super
The following is a test code . The solution is under ###SOLUTION comment.
"""
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
### SOLUTION STARTS
config = tf.ConfigProto()
config.gpu_options.allow_growth = True

## DDPG.ipynb

      
        
          
            
              
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                sezan92
                / DDPG.ipynb
            
            
              Created
              January 6, 2019 15:31
            
          
        
      
        
  
    
    

          
    
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	Person
	Car
	Bicycle
	Bus
	Motorbike
	Train
	Aeroplane
	Chair
	Bottle
	Dining Table
	import json
	import asyncio
	import websockets

	def _check_mode(msg):
	return "Auto" if msg and msg[:2] == '42' else "Manual"

	def _parse_telemetry(msg):
	msg_json = msg[2:]
	parsed = json.loads(msg_json)
	"""
	I was having a problem of CUDNN HANDLE ERROR IN CONVOLUTIONAL NEURAL NETWORK USING TENSORFLOW 1.14 GPU
	MY ENVIRONMENT, Corei7, Ubuntu 18.04, RTX 2070 Super
	The following is a test code . The solution is under ###SOLUTION comment.
	"""
	from tensorflow.examples.tutorials.mnist import input_data
	import tensorflow as tf
	### SOLUTION STARTS
	config = tf.ConfigProto()
	config.gpu_options.allow_growth = True