"How to Choose Loss Functions When Training Deep Learning Neural Networks", "Mean Squared Error Loss", "Mean Squared Logarithmic Error Loss", "Mean Absolute Error Loss", "Binary Classification Loss Functions", "Binary Cross-Entropy Loss", "Hinge Loss", "Squared Hinge Loss", "Multi-Class Classification Loss Functions", "Multi-Class Cross-Entropy Loss", "Sparse Multiclass Cross-Entropy Loss", "Kullback Leibler Divergence Loss", "How to Fix Vanishing Gradients Using the Rectified Linear Activation Function", "Deeper MLP Model with ReLU for Two Circles Problem", "Review Average Gradient Size During Training", "How to Develop a Weighted Average Ensemble for Deep Learning Neural Networks", "Multilayer Perceptron Model", "Model Averaging Ensemble", "Grid Search Weighted Average Ensemble", "Weighted Average MLP Ensemble" stringArrayList.add("How to Choose Loss Functions When Training Deep Learning Neural Networks"); stringArrayList.add("Mean Squared Error Loss"); stringArrayList.add("Mean Squared Logarithmic Error Loss"); stringArrayList.add("Mean Absolute Error Loss"); stringArrayList.add("Binary Classification Loss Functions"); stringArrayList.add("Binary Cross-Entropy Loss"); stringArrayList.add("Hinge Loss"); stringArrayList.add("Squared Hinge Loss"); stringArrayList.add("Multi-Class Classification Loss Functions"); stringArrayList.add("Multi-Class Cross-Entropy Loss"); stringArrayList.add("Sparse Multiclass Cross-Entropy Loss"); stringArrayList.add("Kullback Leibler Divergence Loss"); stringArrayList.add("How to Fix Vanishing Gradients Using the Rectified Linear Activation Function"); stringArrayList.add("Deeper MLP Model with ReLU for Two Circles Problem"); stringArrayList.add("Review Average Gradient Size During Training"); stringArrayList.add("How to Develop a Weighted Average Ensemble for Deep Learning Neural Networks"); stringArrayList.add("Multilayer Perceptron Model"); stringArrayList.add("Model Averaging Ensemble"); stringArrayList.add("Grid Search Weighted Average Ensemble"); stringArrayList.add("Weighted Average MLP Ensemble"); if (selected.equals("How to Choose Loss Functions When Training Deep Learning Neural Networks")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/1.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Mean Squared Error Loss")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/2.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Mean Squared Logarithmic Error Loss")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/3.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Mean Absolute Error Loss")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/4.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Binary Classification Loss Functions")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/5.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Binary Cross-Entropy Loss")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/6.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Hinge Loss")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/7.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Squared Hinge Loss")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/8.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Multi-Class Classification Loss Functions")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/9.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Multi-Class Cross-Entropy Loss")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/10.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Sparse Multiclass Cross-Entropy Loss")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/11.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Kullback Leibler Divergence Loss")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/12.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("How to Fix Vanishing Gradients Using the Rectified Linear Activation Function")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/13.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Deeper MLP Model with ReLU for Two Circles Problem")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/14.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Review Average Gradient Size During Training")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/15.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("How to Develop a Weighted Average Ensemble for Deep Learning Neural Networks")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/16.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Multilayer Perceptron Model")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/17.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Model Averaging Ensemble")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/18.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Grid Search Weighted Average Ensemble")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/19.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); } if (selected.equals("Weighted Average MLP Ensemble")) { Intent i = new Intent(MainActivity.this, DetailActivity.class); i.putExtra("id", position); i.putExtra("url" , "file:///android_asset/20.htm" ); i.putExtra( "value", adapter.getItem(position)); startActivity(i); }