can use the below command, py -m venv keras Step 2: Activate the environment This step will configure python and pip executables in your shell path. Linux/Mac OS Now we have created a virtual environment provides function for training, evaluation and prediction process. They are as follows:  compile: Configure the learning process of the model  fit: Train the model using the training data  evaluate:

tuning. Frameworks such as Keras Tuner, Ray Tune, Talos and Optuna have made it straightforward to configure the training procedure to try out different configurations for the hyperparameters and choose a

size 250 dimensions each. We use Tensorflow’s Embedding layer for this purpose. It allows us to configure the vocabulary size, embedding dimension size, the initializing tensor for the embeddings and several

return model Now we define a simple convolutional neural network (CNN) based model where we can configure the number of parameters by providing a width_multiplier parameter. The higher the value, the larger

用GPU的任何好处。 到目前为止，我们已经完成了启动EC2实例的七个步骤中的前两个步骤，如 图16.3.6顶部所示。在本例中，我 们保留“3. Configure Instance”（3. 配置实例）、“5. Add Tags”（5. 添加标签）和“6. Configure Security Group”（6. 配置安全组）步骤的默认配置。点击“4.添加存储”并将默认硬盘大小增加到64GB( 图16.3.6中