What you’ll learn
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The Basics of Tensors and Variables with Tensorflow
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Mastery of the fundamentals of Machine Learning and The Machine Learning Developmment Lifecycle.
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Basics of Tensorflow and training neural networks with TensorFlow 2.
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Convolutional Neural Networks applied to Malaria Detection
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Building more advanced Tensorflow models with Functional API, Model Subclassing and Custom Layers
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Evaluating Classification Models using different metrics like: Precision,Recall,Accuracy and F1-score
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Classification Model Evaluation with Confusion Matrix and ROC Curve
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Tensorflow Callbacks, Learning Rate Scheduling and Model Check-pointing
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Mitigating Overfitting and Underfitting with Dropout, Regularization, Data augmentation
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Data augmentation with TensorFlow using TensorFlow image and Keras Layers
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Advanced augmentation strategies like Cutmix and Mixup
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Data augmentation with Albumentations with TensorFlow 2 and PyTorch
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Custom Loss and Metrics in TensorFlow 2
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Eager and Graph Modes in TensorFlow 2
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Custom Training Loops in TensorFlow 2
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Integrating Tensorboard with TensorFlow 2 for data logging, viewing model graphs, hyperparameter tuning and profiling
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Machine Learning Operations (MLOps) with Weights and Biases
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Experiment tracking with Wandb
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Hyperparameter tuning with Wandb
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Dataset versioning with Wandb
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Model versioning with Wandb
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Human emotions detection
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Modern convolutional neural networks(Alexnet, Vggnet, Resnet, Mobilenet, EfficientNet)
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Transfer learning
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Visualizing convnet intermediate layers
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Grad-cam method
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Model ensembling and class imbalance
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Transformers in Vision
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Model deployment
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Conversion from tensorflow to Onnx Model
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Quantization Aware training
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Building API with Fastapi
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Deploying API to the Cloud
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Object detection from scratch with YOLO
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Image Segmentation from scratch with UNET model
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People Counting from scratch with Csrnet
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Digit generation with Variational autoencoders (VAE)
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Face generation with Generative adversarial neural networks (GAN)
Can I download Master Deep Learning for Computer Vision in TensorFlow[2024] course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Master Deep Learning for Computer Vision in TensorFlow[2024] course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
