Master Deep Learning for Computer Vision in TensorFlow[2024]

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

  • The Basics of Tensors and Variables with Tensorflow
  • Mastery of the fundamentals of Machine Learning and The Machine Learning Developmment Lifecycle.
  • Basics of Tensorflow and training neural networks with TensorFlow 2.
  • Convolutional Neural Networks applied to Malaria Detection
  • Building more advanced Tensorflow models with Functional API, Model Subclassing and Custom Layers
  • Evaluating Classification Models using different metrics like: Precision,Recall,Accuracy and F1-score
  • Classification Model Evaluation with Confusion Matrix and ROC Curve
  • Tensorflow Callbacks, Learning Rate Scheduling and Model Check-pointing
  • Mitigating Overfitting and Underfitting with Dropout, Regularization, Data augmentation
  • Data augmentation with TensorFlow using TensorFlow image and Keras Layers
  • Advanced augmentation strategies like Cutmix and Mixup
  • Data augmentation with Albumentations with TensorFlow 2 and PyTorch
  • Custom Loss and Metrics in TensorFlow 2
  • Eager and Graph Modes in TensorFlow 2
  • Custom Training Loops in TensorFlow 2
  • Integrating Tensorboard with TensorFlow 2 for data logging, viewing model graphs, hyperparameter tuning and profiling
  • Machine Learning Operations (MLOps) with Weights and Biases
  • Experiment tracking with Wandb
  • Hyperparameter tuning with Wandb
  • Dataset versioning with Wandb
  • Model versioning with Wandb
  • Human emotions detection
  • Modern convolutional neural networks(Alexnet, Vggnet, Resnet, Mobilenet, EfficientNet)
  • Transfer learning
  • Visualizing convnet intermediate layers
  • Grad-cam method
  • Model ensembling and class imbalance
  • Transformers in Vision
  • Model deployment
  • Conversion from tensorflow to Onnx Model
  • Quantization Aware training
  • Building API with Fastapi
  • Deploying API to the Cloud
  • Object detection from scratch with YOLO
  • Image Segmentation from scratch with UNET model
  • People Counting from scratch with Csrnet
  • Digit generation with Variational autoencoders (VAE)
  • 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.
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