.reveal section img {
    border: 0px;
    box-shadow: none;
}

.left-col {
    width: 50%;
    float: left;
}

.right-col {
    width: 50%;
    float: right;
}

.clear-col {
    float: none;
    clear: both;
}

.small-table td {
    border: 0px;
    font-size: 24px;
    margin: 0px;
}

p.small,
a.small {
    font-size: 18px;
}

p.medium,
a.medium {
    font-size: 28px;
}

.small td,
.small th {
    font-size: 32px;
}

.small code {
    font-size: 16px;
    line-height: 18px;
}

.smaller code {
    font-size: 12px;
    line-height: 13px;
}

.smallest code {
    font-size: 8px;
    line-height: 10px;
}

.two-col-code {
    min-height: 400px;
}

.smallquote blockquote {
    font-size: 32px !important;
}

.smallestquote blockquote {
    font-size: 28px !important;
}

/* Custom Coding Style */
code {
    color: #22F;
}

code.medium {
    font-size: 18px;
    line-height: 20px;
}

/* Background Slides */

.background h1,
.background h2
{
    color: #00ffda !important;
}

.background h3,
.background h4,
.background h5,
.background p 
{
    color: white !important;
}

.background blockquote {
    background-color: rgba(255, 255, 255, 0.075);
}

.background a {
    color: #4c98ff;
}

.large p {
    font-size: 64px !important;
    font-weight: bold !important;
}

/* Padding Styles */

.low-padding p,
.low-padding img {
    margin: 0px !important;
}

/* Images */
img[alt="portrait"] {
    width: 350px;
    border: 2px solid black !important;
}

img[alt="celery_celery"] {
    width: 500px;
}

img[alt="small_portrait"] {
    width: 220px;
    border: 2px solid black !important;
}

img[alt="prize"] {
    width: 250px;
}

img[alt="perceptron_learning"] {
    zoom: 0.5; /* all browsers */
    -moz-transform: scale(0.5);  /* Firefox */
}

img[alt="rnn_diagram"] {
    width: 512px;
}

img[alt="rnn_compressed"] {
    width: 800px;
}

img[alt="perceptron"] {
    width: 600px;
}

img[alt="char_perceptron"] {
    width: 600px;
    margin: 0px;
    padding: 0px;
}

img[alt="char_perceptron_filled"] {
    width: 400px;
    margin: 0px;
    padding: 0px;
}

img[alt="nn_chars_filled_in"] {
    width: 400px;
}

img[alt="weight_matrix"] {
    width: 600px;
}

img[alt="gradient_descent"] {
    width: 400px;
}

img[alt="rnn_diagram"] {
    width: 400px;
}

img[alt="distributed_architecture"]{
    width: 800px;
}

img[alt="deep_rnn_diagram"] {
    width: 600px;
}

img[alt="rnn_long_term_deps"] {
    width: 580px;
}

img[alt="rnn_unrolled"] {
    width: 460px;
}

img[alt="rnn_hiddenstate"] {
    width: 600px;
}

img[alt="rnn_unrolled_chars"] {
    max-width: 700px;
}

img[alt="tensorflow"] {
    width: 400px;
}

img[alt="nn_backprop_algebra"] {
    width: 550px;
}

img[alt="donald"] {
    width: 225px;
}

img {
    background: rgba(255, 255, 255, 0.60) !important;
}

/* Library Icons */

img[alt="icon_tensorflow"] {
      width: 100px;
      padding: 0px 32px 0px 32px;
}
img[alt="icon_keras"] {
      width: 100px;
      padding: 0px 32px 0px 32px;
}
img[alt="icon_caffe"] {
      width: 250px;
      padding: 0px 32px 0px 32px;
}
img[alt="icon_pytorch"] {
      width: 200px;
      padding: 0px 32px 0px 32px;
}
img[alt="icon_theano"] {
      width: 200px;
      padding: 0px 32px 0px 32px;
}

img[alt="novel_preprocessing"] {
    width: 550px;
    padding-left: 128px;
}

img[alt="mini_batch_chars"] {
    padding-top: 32px;
    width: 1000px;
}

img[alt="full_network"] {
    width: 800px;
}

img[alt="full_network_small"] {
    width: 550px;
}

img[alt="full_network_smaller"] {
    width: 400px;
}

img[alt="full_network_loss"] {
    width: 700px;
}

img[alt="tensorflow_graph"] {
    width: 800px;
}

img[alt="tensorflow_graph_marked"] {
    width: 800px;
}

img[alt="classification"] {
    width: 550px;
}

img[alt="classification_small"] {
    width: 450px;
}

.bio-table td {
    text-align: center !important;
    border: 0px !important;
    max-width: 400px;
}

.github {
    font-size: 20px !important;
}