s1998

docker ps -a
docker container list
docker cp ~/Downloads/newsolnJAE_Lab1_soln.zip youthful_newton:/autograder

s1998

# Set flexible GPU usage
import tensorflow as tf
import keras.backend as ktf
from tensorflow.python.keras import backend as ktf

def get_session(gpu_fraction=0.2):
    gpu_options = tf.compat.v1.GPUOptions(
        per_process_gpu_memory_fraction=gpu_fraction,
        allow_growth=True)
    return tf.compat.v1.Session(

s1998

// There are 2 ways of doing this that I could think of.

// A.
// We deifne a bidirectional layer that takes forward dircetional rnn cell (lstm/gru..) and one backward direcional rnn cell
BidirectionalLayer<> b_unit;
// This unit has a Add() method. The method is "different" from Add method of other layers because the user needs to 
// specify forward RNN cell and backward RNN cell. 
// There are 2 ways I could think of doing this (A1): 
template <bool forwardPolicy, class LayerType, class... Args> 
void Add(Args... args){...}

s1998

// Proposed changes to the API are: 

// DBSCAN clustering has a method : 
size_t Cluster(const MatType& data,
  arma::mat& centroids);

// KMeans clustering has a method :
void Cluster(const MatType& data,
  size_t clusters,
  arma::mat& centroids,