Master Deep Learning for Computer Vision in TensorFlow[2024] Course includes 48 hrs video content and enrolled by 1.5K+ students and received a 4.2 average review out of 5. Now, you will get 90%OFF on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.
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?
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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.
