Errata

There is one sub chapter missing at Chapter3. which is
SoftMax and SoftMaxCrossEntropy ...............37

subchapter is missing at Chapter5, which is
"Can’t We Predict 3D Protein Structure Computationally?"

sub-chapter ` What Is a Cell Line?` is missing.

sub chapter 'ICD-10 Codes' and 'What About Unsupervised Learning?' is missing.

In 2ed code block is shoud be:

```
In : print(train_scores)
Out:
{'mean-roc_auc_score': 0.9659541853946179}
In : print(test_scores)
Out:
{'mean-roc_auc_score': 0.7915464001982299}
```

or

```
In : print(train_scores, test_scores)
Out:
{'mean-roc_auc_score': 0.9659541853946179}
{'mean-roc_auc_score': 0.7915464001982299}
```

There is Indentation error.

```
def generate_graph_conv_model():
batch_size = 128
model = GraphConvModel(1, batch_size=batch_size,
mode='classification',
model_dir="/tmp/mk01/model_dir")
return model
```

should be

```
def generate_graph_conv_model():
batch_size = 128
model = GraphConvModel(1, batch_size=batch_size,
mode='classification',
model_dir="/tmp/mk01/model_dir")
return model
```

There is Indentation error.

```
def generate_graph_conv_model():
batch_size = 128
model = GraphConvModel(1, batch_size=batch_size,
mode='classification',
model_dir="/tmp/mk01/model_dir")
return model
```

should be

```
def generate_graph_conv_model():
batch_size = 128
model = GraphConvModel(
1, batch_size=batch_size,
mode='classification',
model_dir="/tmp/mk01/model_dir")
return model
```

```
training_score_list = []
validation_score_list = []
transformers = []
cv_folds = 10
for i in range(0, cv_folds):
model = generate_graph_conv_model()
res = splitter.train_valid_test_split(dataset)
train_dataset, valid_dataset, test_dataset = res
model.fit(train_dataset)
train_scores = model.evaluate(train_dataset, metrics,
transformers)
training_score_list.append(
train_scores["mean-matthews_corrcoef"])
validation_scores = model.evaluate(valid_dataset,
metrics,
transformers)
validation_score_list.append(
validation_scores["mean-matthews_corrcoef"])
print(training_score_list)
print(validation_score_list)
```

should be

```
training_score_list = []
validation_score_list = []
transformers = []
cv_folds = 10

for i in range(0, cv_folds):
model = generate_graph_conv_model()
res = splitter.train_valid_test_split(dataset)
train_dataset, valid_dataset, test_dataset = res
model.fit(train_dataset)
train_scores = model.evaluate(train_dataset, metrics, transformers)
training_score_list.append(train_scores["mean-matthews_corrcoef"])
validation_scores = model.evaluate(valid_dataset, metrics, transformers)
validation_score_list.append(validation_scores["mean-matthews_corrcoef"])

print(training_score_list)
print(validation_score_list)
```

) is missing.

```
pred_df = pd.DataFrame([x.flatten() for x in pred],
columns=["Neg", "Pos"]
```

shoud be

```python
pred_df = pd.DataFrame(
[x.flatten() for x in pred],
columns=["Neg", "Pos"])
```