Development Online Course by Udemy, On Sale Here
Learn Deep Learning & Computer Vision with Python, Tensorflow 2.0, OpenCV, FastAI. Object Detection & GAN and much more!
An excellent training about Data Science
The Complete Deep Learning & Computer Vision Course in 2021
This Brand New and Modern Deep Learning & Computer Vision Course will teach you everything you will need to know to become a Computer Vision Expert. Deep Learning & Computer Vision is currently one of the most increasing fields of Artificial Intelligence and Companies like Google, Apple, Facebook, Amazon are highly investing in this field. Deep Learning & Computer Vision jobs are increasing day by day & provide some of the highest paying jobs all over the world. If We Want Machines to Think, We Need to Teach Them to See-Fei Fei Li, Director of Stanford AI Lab and Stanford Vision LabComputer Vision allows us to see the world & process digital images & videos to extract useful information to do a certain task from classification, object detection, and much more. Python is one of the most popular used programming language in Deep Learning and Computer Vision. All the tools, techniques & technologies used in this course -Learning Computer Vision & Deep Learning FundamentalsSetting up Anaconda, Installing Libraries & Jupyter NotebookLearning fundamentals of OpenCV & Numpy – Reading images, Colorspaces, Drawing & CallbacksAdvanced OpenCV – Image Preprocessing, Geometrical transformations, Perspective transformations & affine transformations, image blending & pyramids, image gradients & thresholding, Canny Edge Detector and contoursWorking with videos in OpenCV – Using webcam, Haar Cascades & Object Detection, Lane DetectionDeep Learning & How Neural Network Works? – Artificial neural networks, Convolution Neural Networks & Transfer LearningImage Classification – Plant leaf Classification Working on very recent Kaggle CompetitionsUsing Google Colab & Kaggle KernelsUsing the latest Tensorflow 2.0 & KerasUsing Keras Data Generators & Data ArgumentationUsing Transfer Learning & Ensemble learningUsing State of The Art Deep Learning ModelsUsing GPU & TPU for Model TrainingHyperparameter TuningUsing Weights & Biases for recording Deep Learning experimentationsSaving & Loading ModelsCreating a Weights & Biases Report & Showcasing the Project! Object Detection – Wheat heads DetectionWorking on Kaggle Competitions, again! Using Facebook’s Detectron2 for Object DetectionCreating COCO Dataset from scratchTraining Faster RCNN Model and Custom Weights & Biases callbackUsing RetinanetSaving & Loading Detectron2 modelsGenerative Adversarial Networks – Creating Fake Leaf ImagesLearning How Generative Adversarial Networks worksUsing FastAICreating & Training Generative Adversarial NetworksMaking Fake Images using GANMaking ML Web Application Getting started with StreamlitCreating an ML Web Application from scratch using Streamlitmaking a React Web ApplicationDeploying MLApplicationsLearning how to use Cloud Services to Deploy Models & ApplicationsUsing HerokuLearning how to Open Source Projects on GitHubHow to showcase your projects to impress boss & employees & Get Hired!A lot of bonus lectures! This is what included in the packageAll lecture codes are available for downloadable for free110+ HD video lectures ( over 50 more to come very soon! )Free support in course Q/AAll videos with English captions availableThis course is for you if. you want to learn the Latest Tools & Techniques used in Deep Learning & Computer Vision. you want to get more experience to Win Kaggle Competitions. you want to get started with Computer Vision to become a Computer Vision Engineer. you are interested in learning Image Classification, Object Detection, Generative Adversarial Networks, Making & Deploying Machine Learning Applications
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