Want To Become A Top-Notch Deep Learning Developer That Big Corporations Will Always Scout?Learn the secrets that helped hundreds of deep learning developers improve their deep learning development skills without sacrificing too much time and money.The demand for deep learning developers is rising. In just a few years, more opportunities will open.Soon, more people will start to pay attention to this trend and many will try to learn and improve as much as they can to become a better Deep learning developer than others.This means that you will have more competitors than ever…… And if you don’t improve your skill, you will be left behind and be stuck in the middle of the pack where you’re undervalued and underpaid by companies.So, if you’re feeling stuck and don’t seem to improve is not because you aren’t talented and fit in this field.The reason for this is because…You’re Probably Relying on Free Information Found in Forums and Search Engines!To be honest, this is common practice for most people.After all, you can find tons of information online just by using the right words…However, some information online can be misleading and cause confusion and contradiction.And if you think about it, trade secrets and important information aren’t just given away by industry experts for free.This is why the free information that you get isn’t reliable.Truth be told, Deep learning development is a lucrative career.You can earn tons of money because of your possible contributions to a business’s development.But, if you fail to improve and become better, you won’t be able to maximize your growth in this field and…You Will Be Stuck in Mediocrity and Never Be Able to Maximize Your Potential Earnings!Companies like Amazon and Google pay professional Deep learning developers around $160,000 to $240,000 annually.
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About this course
Introduction to the Top Deep learning modules, APIs and installation:
Tensorflow 2.0, PyTorch, MXNet and OpenCV
Perform Data Pipeline Transformation
using Tensorflow 2.0, PyTorch and MXNet
Build Convolutional Neural Network CNN models
using Tensorflow 2.0, PyTorch and MXNet
Build Recurrent Neural Network RNN models
using Tensorflow 2.0, PyTorch and MXNet
Build Fully Connected Network FCN models
using Tensorflow 2.0, PyTorch and MXNet
Implement Transfer Learning
using Tensorflow 2.0, PyTorch and MXNet
Execute Image Transformation Operations using OpenCV
Execute Feature Extraction and Detection using OpenCV
Action steps after every module that is similar to real-life projects
Advanced lessons that are not included in most deep learning courses out there
Apply your new-found knowledge through the Capstone project
Download Jupyter files that contain live codes, simulations and visualizations that experts use.
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2021
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Course programme
Course Overview 6 lectures15:59Tutor Intro previewGet to know your your instructor for this course, Raj.Deep learning Course Objective and benefitsWhat's covered in this course? This video will go over the objectives and outcomes of this deep learning course.Deep Learning Overall Course Blue Print previewA summary of the deep learning frameworks that will be used in this course and what APIs will be covered in each framework.Deep learning Course MethodologyEach deep learning framework will be taught in a specific structure starting with a basic overview of the API and ending with a final capstone project. Familiarize yourself with how the course will be taught in this video.Deep learning Big PictureWhat is deep learning and which industries benefit from deep learning applications? Which industries really benefit from having deep learning specialists? Nowadays, deep learning is accessible to more and more people due to open-source frameworks such as TensorFlow and PyTorch. Learn about deep learning and its usage in different industries.Tools and RequirementsSet up your learning environment for deep learning. Whether using your own computer or a GPU-enabled cloud service, this video will go over the specific Python distributions or cloud services you can use. Course Overview 6 lectures15:59Tutor Intro previewGet to know your your instructor for this course, Raj.Deep learning Course Objective and benefitsWhat's covered in this course? This video will go over the objectives and outcomes of this deep learning course.Deep Learning Overall Course Blue Print previewA summary of the deep learning frameworks that will be used in this course and what APIs will be covered in each framework.Deep learning Course MethodologyEach deep learning framework will be taught in a specific structure starting with a basic overview of the API and ending with a final capstone project. Familiarize yourself with how the course will be taught in this video.Deep learning Big PictureWhat is deep learning and which industries benefit from deep learning applications? Which industries really benefit from having deep learning specialists? Nowadays, deep learning is accessible to more and more people due to open-source frameworks such as TensorFlow and PyTorch. Learn about deep learning and its usage in different industries.Tools and RequirementsSet up your learning environment for deep learning. Whether using your own computer or a GPU-enabled cloud service, this video will go over the specific Python distributions or cloud services you can use.Tutor Intro previewGet to know your your instructor for this course, Raj.Tutor Intro previewGet to know your your instructor for this course, Raj.Tutor Intro previewGet to know your your instructor for this course, Raj.Tutor Intro previewGet to know your your instructor for this course, Raj.Get to know your your instructor for this course, Raj.Get to know your your instructor for this course, Raj.Deep learning Course Objective and benefitsWhat's covered in this course? This video will go over the objectives and outcomes of this deep learning course.Deep learning Course Objective and benefitsWhat's covered in this course? This video will go over the objectives and outcomes of this deep learning course.Deep learning Course Objective and benefitsWhat's covered in this course? This video will go over the objectives and outcomes of this deep learning course.Deep learning Course Objective and benefitsWhat's covered in this course? This video will go over the objectives and outcomes of this deep learning course.What's covered in this course? This video will go over the objectives and outcomes of this deep learning course.What's covered in this course? This video will go over the objectives and outcomes of this deep learning course.Deep Learning Overall Course Blue Print previewA summary of the deep learning frameworks that will be used in this course and what APIs will be covered in each framework.Deep Learning Overall Course Blue Print previewA summary of the deep learning frameworks that will be used in this course and what APIs will be covered in each framework.Deep Learning Overall Course Blue Print previewA summary of the deep learning frameworks that will be used in this course and what APIs will be covered in each framework.Deep Learning Overall Course Blue Print previewA summary of the deep learning frameworks that will be used in this course and what APIs will be covered in each framework.A summary of the deep learning frameworks that will be used in this course and what APIs will be covered in each framework.A summary of the deep learning frameworks that will be used in this course and what APIs will be covered in each framework.Deep learning Course MethodologyEach deep learning framework will be taught in a specific structure starting with a basic overview of the API and ending with a final capstone project. Familiarize yourself with how the course will be taught in this video.Deep learning Course MethodologyEach deep learning framework will be taught in a specific structure starting with a basic overview of the API and ending with a final capstone project. Familiarize yourself with how the course will be taught in this video.Deep learning Course MethodologyEach deep learning framework will be taught in a specific structure starting with a basic overview of the API and ending with a final capstone project. Familiarize yourself with how the course will be taught in this video.Deep learning Course MethodologyEach deep learning framework will be taught in a specific structure starting with a basic overview of the API and ending with a final capstone project. Familiarize yourself with how the course will be taught in this video.Each deep learning framework will be taught in a specific structure starting with a basic overview of the API and ending with a final capstone project. Familiarize yourself with how the course will be taught in this video.Each deep learning framework will be taught in a specific structure starting with a basic overview of the API and ending with a final capstone project. Familiarize yourself with how the course will be taught in this video.Deep learning Big PictureWhat is deep learning and which industries benefit from deep learning applications? Which industries really benefit from having deep learning specialists? Nowadays, deep learning is accessible to more and more people due to open-source frameworks such as TensorFlow and PyTorch. Learn about deep learning and its usage in different industries.Deep learning Big PictureWhat is deep learning and which industries benefit from deep learning applications? Which industries really benefit from having deep learning specialists? Nowadays, deep learning is accessible to more and more people due to open-source frameworks such as TensorFlow and PyTorch. Learn about deep learning and its usage in different industries.Deep learning Big PictureWhat is deep learning and which industries benefit from deep learning applications? Which industries really benefit from having deep learning specialists? Nowadays, deep learning is accessible to more and more people due to open-source frameworks such as TensorFlow and PyTorch. Learn about deep learning and its usage in different industries.Deep learning Big PictureWhat is deep learning and which industries benefit from deep learning applications? Which industries really benefit from having deep learning specialists? Nowadays, deep learning is accessible to more and more people due to open-source frameworks such as TensorFlow and PyTorch. Learn about deep learning and its usage in different industries.What is deep learning and which industries benefit from deep learning applications? Which industries really benefit from having deep learning specialists? Nowadays, deep learning is accessible to more and more people due to open-source frameworks such as TensorFlow and PyTorch. Learn about deep learning and its usage in different industries.What is deep learning and which industries benefit from deep learning applications? Which industries really benefit from having deep learning specialists? Nowadays, deep learning is accessible to more and more people due to open-source frameworks such as TensorFlow and PyTorch. Learn about deep learning and its usage in different industries.Tools and RequirementsSet up your learning environment for deep learning. Whether using your own computer or a GPU-enabled cloud service, this video will go over the specific Python distributions or cloud services you can use.Tools and RequirementsSet up your learning environment for deep learning. Whether using your own computer or a GPU-enabled cloud service, this video will go over the specific Python distributions or cloud services you can use.Tools and RequirementsSet up your learning environment for deep learning. Whether using your own computer or a GPU-enabled cloud service, this video will go over the specific Python distributions or cloud services you can use.Tools and RequirementsSet up your learning environment for deep learning. Whether using your own computer or a GPU-enabled cloud service, this video will go over the specific Python distributions or cloud services you can use.Set up your learning environment for deep learning. Whether using your own computer or a GPU-enabled cloud service, this video will go over the specific Python distributions or cloud services you can use.Set up your learning environment for deep learning. Whether using your own computer or a GPU-enabled cloud service, this video will go over the specific Python distributions or cloud services you can use. TensorFlow 2.0 22 lectures55:34TensorFlow Course ObjectiveWhat's in this video? This video will go over the course coverage and objectives.TensorFlow Course MethodologyIn this video, the course tutor explains how this course will be taught. This video also discusses the activities in the course.TensorFlow Modules and APIWhat are the TensorFlow API and Modules? This video looks into the different APIs and Modules for TensorFlow.TensoFlow Changes and ConceptsThis video explains the different changes and concepts in TensorFlow 2.0 compared to its earlier iteration.TensorFlow Data PipelineTensorFlow tf Data Code Walk ThruIn this video, the course tutor discusses how to run the code for the tf.data in TensorFlow.TensorFlow Data AugmentationThis video discusses how to perform data augmentation using TensorFlow as part of the data pipeline. Augmentations are useful to generate additional training data for your model.TensorFlow Keras Walk thruThis video looks into the Keras module in TensorFlow 2.0. This video discusses what Keras is, what it is used for, and how to use it.TensorFlow Fully Connected NN ModelIn this video, learn about the steps involved in building a fully connected neural network using TensorFlow 2.0.TensorFlow Fully Connected Model with Datapipeline Code WalkthruThis video explains the steps in constructing a Deep Learning Model based on fully connected network and the Data Pipeline that is based on tf.data, as well as how to optimize it.TensorFlow CNN model steps walk thruIn this video we will go over the basic steps of building a Convolutional Neural Network (CNN) which are often used with imagery.TensorFlow CNN Model Code Walk ThruWe will go over the code used to download a sample dataset, build a convolutional neural network, and train on the dataset. The end result is a model that can predict the object in the image.TensorFlow RNN based Sequence modelsThis video goes over general steps of building and using a recurrent neural network (RNN) that is used for sequence data such as time series or text data.Tensor Flow RNN Code walk thruThis video goes over the code and individual layers used to build a recurrent neural network (RNN).ADVANCED: TensorFlow transfer learning walk-throughADVANCED: TensorFlow entire workflow with transfer learning code advance walk-throughTensorFlow Exercise TasksTensorFlow Exercise Solution Walk-throughTensorFlow Exercise 2TensorFlow Exercise 2 Solution Walk-throughTensorFlow Course Summary TensorFlow 2.0. 22 lectures55:34TensorFlow Course ObjectiveWhat's in this video? This video will go over the course coverage and objectives /strong...
