Apologies, I was offline for a week or so and I am currently caching up with things. Reading Excel and other Microsoft Office files. Streaming large amounts of data into memory. Found inside – Page xvUsing Jupyter Notebook.
#WORD FOR MAC NOTEBOOK VIEWER HOW TO#
If you believe this answer is better, you must first uncheck the current Best Answer, Using PySpark in a TIBCO Data Science Team Studio Notebook, Hawk HMA segementation violation on SUSE 11, How to pass argument parameters of a python script in IronPython. What a MAGIC!!! Specifications for Importing Data from an OBS Directory, Specifications for Importing the Manifest File, Creating a Notebook Instance with a Git Repository, Configuring the Jupyter Notebook Environment, Switching the CUDA Version on the Terminal Page of a GPU-based Notebook Instance, Installing External Libraries and Kernels in Notebook Instances, Downloading Large Files in Notebook Instances to a Local PC, Using the Convert to Python File Function, Introduction to JupyterLab and Common Operations, Using Sample Notebook Instances of ModelArts, Using Existing Algorithms to Train Models, Using Built-in Algorithms to Train Models, Using Frequently-used Frameworks to Train Models, Example: Replacing the Original ResNet-50 with a Better Network Architecture, Example: Searching for Hyperparameters Using Classic Hyperparameter Algorithms, Example: Searching for Network Architectures Using the MBNAS Algorithm, Example: Implementing Auto Data Augmentation Using a Preset Data Augmentation Policy, Example: Using Backbone Replacement to Optimize Built-in Algorithms on Ascend 910 Without Modifying Code, Importing a Meta Model from a Training Job, Importing a Meta Model from a Container Image, Analysis on Class Errors of Object Detection Models and Solution, Analysis on Position Errors of Object Detection Models and Solution, Analysis on Background Errors of Object Detection Models and Solution, Analysis on the Sensitivity of Object Detection Models to Bounding Box Aspect Ratios and Solution, Analysis on the Sensitivity of Object Detection Models to Bounding Box Brightness and Solution, Analysis on the Sensitivity of Object Detection Models to Bounding Box Clarity and Solution, Analysis on the Sensitivity of Object Detection Models to Bounding Box Areas and Solution, Analysis on the Sensitivity of Object Detection Models to Bounding Box Marginalization Degrees and Solution, Analysis on the Sensitivity of Object Detection Models to Bounding Box Overlap Degrees and Solution, Fine-grained Classification Optimization Using Center Loss, Common Methods of Optimizing Model Precision in Model Optimization, Data Augmentation Based on Model Evaluation, Model Attack Based on Sample Preprocessing, Accessing a Real-Time Service (Token-based Authentication), Accessing a Real-Time Service (AK/SK-based Authentication), Accessing a Real-Time Service (Application Authentication), Viewing the Batch Service Prediction Result, Specifications for Custom Images Used for Training Jobs, Creating a Training Job Using a Custom Image (GPU), Specifications for Custom Images Used for Importing Models, Example: Importing a Model Using a Custom Image, Specifications for Compiling the Model Configuration File, Specifications for Compiling Model Inference Code, TensorFlow-based Image Classification Template, Downloading files to notebook instances with EVS attached.
There is an Upload button that will allow you to select files from your computer to transfer. Multiple formats (SOURCE, HTML, JUPYTER, DBC) are supported. Select the notebook that you want to download.
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