Presently, every IT enthusiast wants to excel as deep learning field is fetching high salaries and is expected to grow at a faster pace in future. Deep Learning with TensorFlow uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation on large volumes of data in order to make decisions about high dimensional data. There are many companies which trust google cloud or other companies for smarter business solutions and functionalities.
The industry is growing at a very fast pace and becoming all the more difficult to predict. But, together with technological changes and advancement, there is an ever-rising competition. Indeed you have to put a ton of extra efforts in order to grab the spotlight. So let’s look into details of for getting into this field and available learning resources to prepare you better.
Roles and Responsibilities
Certificate in Deep Learning with TensorFlow will enable you to design and train your deep learning models and scale them out for larger datasets and complex neural network architectures on multiple GPUs using Google Cloud ML Engine.
Why to take this certification?
In this certification course, You will learn how to design and train your deep learning models and scale them out for larger datasets and complex neural network architectures on multiple GPUs using Google Cloud ML Engine.
You’ll also learn distributed techniques such as how parallelism and distribution work using low-level TensorFlow and high-level TensorFlow APIs and Keras.
Intended Audience
Job seekers looking for employment in various IT companies, PSUs or MNCs. Certification in Deep learning with TensorFlow framework benefits Data Science professionals, students and professionals across various Industries. IT companies, MNCs, Consultancies hire Data Science professionals for Data Science activities. Companies employing Data Science include Capgemini, JP Morgan Chase, TCS, Wipro, Zensar, Accenture, Infor etc.
How it Works
- Select Certification & Register
- Receive a.) Online e Learning Access (LMS) b.) Hard copy – study material
- Take exam online anywhere, anytime
- Get certified & Increase Employability
Test Details
- Duration: 60 minutes
- No. of questions: 50
- Maximum marks: 50, Passing marks: 25 (50%).
- There is NO negative marking in this module.
- Online exam.
Benefits of Certification
- Government certification
- Certification valid for life
- Lifelong e-learning access
- Free Practice Tests
- Get tagged as ‘Vskills Certified’ On Monsterindia.com
- Get tagged as ‘Vskills Certified’ On
Shine.com
Course Outline
this exam has following objectives –
Module 1
INSTALLATION
- The Course Overview
- Installation
KERAS INTRODUCTION
- Introduction
- Keras Backends
- Design and Compile a Model
- Model Training, Evaluation, and Prediction
- Training with Data Augmentation
- Training with Transfer Learning and Data Augmentation
SCALING DEEP LEARNING USING KERAS AND TENSORFLOW
- Introduction to TensorFlow
- Introduction to TensorBoard
- Types of Parallelism in Deep Learning – Synchronous and Asynchronous
- Distributed TensorFlow
- Configuring Keras to use TensorFlow for Distributed Problems
TRAINING, TUNING, AND SERVING OUR MODEL IN THE CLOUD
- Introduction
- Introduction to Google Cloud Machine Learning Engine
- Datasets, Feature Columns, and Estimators
- Representing Data in TensorFlow
- Quick Dive into TensorFlow Estimators
- Creating Data Input Pipelines
- Setting Up Our Estimator
- Packaging Our Model
- Training with Google Cloud ML Engine
- Hyperparameter Tuning in the Cloud
- Deploying Our Model for Prediction
- Creating Our Prediction API
- Wrapping Up
- Course Summary
Module 2
SETTING UP THE DEEP LEARNING PLAYGROUND
- The Course Overview
- TensorFlow for Building Deep Learning Models
- Basic Syntaxes, Function Optimization, Variables, and Placeholders
- TensorBoard for Visualization
TRAINING DEEP FEED-FORWARD NEURAL NETWORKS WITH TENSORFLOW
- Start by Loading the Imported Dataset
- Building the Layers of the Neural Network in TensorFlow
- Optimizing the Softmax Cross Entropy Function
- Using DNN Predicting Whether Breast Cancer Cells Are Benign or Not
APPLYING CNN ON TWO REAL DATASETS
- Importing the Two Datasets Using TensorFlow and Sklearn API
- Writing the TensorFlow Code to Add Convolutional and Pooling Layers
- Using tf.train.AdamOptimizer API to Optimize CNN
- Implementing CNN to Create a Face Recognition System
EXERCISE RNN TO SOLVE TWO TIME SERIES PROBLEMS
- Understanding the RNN and the Need for LSTM
- Implementing RNN
- Monthly Riverflow Prediction of Turtle River in Ontario
- Implement LSTM Project to Predict Decimal Number of Given Binary Representation
USING AUTOENCODERS TO EFFICIENTLY REPRESENT DATA
- Encoder and Decoder for Efficient Data Representation
- TensorFlow Code Using Linear Autoencoder to Perform PCA on a 4D Dataset
- Using Stacked Autoencoders for Representation on MNIST Dataset
- Build a Deep Autoencoder to Reduce Latent Space of LFW Face Dataset
GENERATIVE ADVERSARIAL NETWORKS FOR CREATING SYNTHETIC DATASET
- Generative Adversarial Networks for Creating Synthetic Dataset
- Downloading and Setting Up the (Microsoft Research Asia) Geolife Project Dataset
- Coding the Generator and Discriminator Using TensorFlow
- Training GANs to Create Synthetic GPS Based Trajectories
Preparatory Guide for Certificate in Deep Learning with TensorFlow
There are unlimited resources for preparation that you can use. Cracking this exam can be difficult for the first time. But with the right set of resources and hard work you can ace the exam in one go. So, you should be very careful while choosing the resources. Make sure to pick the apt resources out of the unlimited resources available, as they will determine how well will you pass the exam. Let us look at some resources that can be beneficial –
Step 1 – Review the Exam Objectives
The first and foremost thing before you start preparing is to get well versed with the objectives of the exam. Exam objectives let you define the framework for preparation and the path that has to be followed in order to pass with flying colors. Knowing about the objectives of the exam is very important as the whole exam is going to revolve around the objectives. This exam revolves around following objectives –
- INSTALLATION
- KERAS INTRODUCTION
- SCALING DEEP LEARNING USING KERAS AND TENSORFLOW
- TRAINING, TUNING, AND SERVING OUR MODEL IN THE CLOUD
- SETTING UP THE DEEP LEARNING PLAYGROUND
- TRAINING DEEP FEED-FORWARD NEURAL NETWORKS WITH TENSORFLOW
- APPLYING CNN ON TWO REAL DATASETS
- EXERCISE RNN TO SOLVE TWO TIME SERIES PROBLEMS
- USING AUTOENCODERS TO EFFICIENTLY REPRESENT DATA
- GENERATIVE ADVERSARIAL NETWORKS FOR CREATING SYNTHETIC DATASET
Refer – Certificate in Deep Learning with TensorFlow Professional Brochure
Step 2 – Hitting the books
You can choose books that are comfortable for your reading habits and which you understand well. Books are the best-valued resources and first resource that comes to our mind when we think of preparing for any exam. You can find multiple books online or can refer to libraries and bookstores. There are even fantastic books online that can be very useful in preparation. Some books that you can refer to are
- Deep Learning With Tensorflow by Giancario Zaccone and Md. Rezaul Karim
- Tensorflow For Deep Learning by Bharath Ramsundar & Reza Bosaigh Zadeh
Step 3 – E-Learning and Study Materials
These online classes and instructor-led courses are one of the most interactive ways of preparing the exam. Learning for the exam can be fun if you have the right set of resources matching your way of studying. Vskills offers you its E-Learning Study Material to supplement your learning experience and exam preparation. They are prepared by the experts of the subject matter and are reliable enough. Many reliable sites provide with very nice instructors and excellent content for the preparation. As we all are habitual of classroom teaching, these classes can serve as a close substitute with the advantage of attending the class anywhere.
Step 4 – Evaluate yourself with Practice Tests
Your practice is an important determiner of how well you pass the exam. Take as many practice tests and test series as you can. They will help you in determining the level of your preparation, identify your loopholes and identify the weak portions you need to work more upon. There are so many reliable educational sites that provide with amazing content and help you in achieving excellence. Try a free practice test now!
