What will you in Complete Guide to TensorFlow for Deep Learning with Python Course
Understand deep learning theory and how to implement it using TensorFlow and Python.
Build and train neural networks from scratch using TensorFlow 2 and Keras.
Apply CNNs and RNNs to real-world tasks such as image and sequence modeling.
Work with real datasets including MNIST, CIFAR, and time series data.
Deploy deep learning models and use tools like TensorBoard for monitoring.
Program Overview
Module 1: Introduction to Deep Learning & TensorFlow
⏳ 30 minutes
Overview of deep learning, AI history, and TensorFlow’s role.
Installing Python, TensorFlow, and setting up your environment.
Module 2: TensorFlow Basics & Tensors
⏳ 45 minutes
Working with tensors, operations, and broadcasting.
Introduction to auto-differentiation and computational graphs.
Module 3: Neural Networks & Keras API
⏳ 60 minutes
Building neural networks with Sequential and Functional APIs.
Understanding loss functions, optimizers, and evaluation metrics.
Module 4: Image Classification with CNNs
⏳ 60 minutes
Implementing convolutional layers and pooling operations.
Building models for CIFAR-10 and MNIST datasets.
Module 5: Recurrent Neural Networks (RNNs)
⏳ 60 minutes
Sequence modeling with SimpleRNN, LSTM, and GRU layers.
Applications in time series forecasting and text analysis.
Module 6: Advanced Topics & Custom Training
⏳ 60 minutes
Writing custom training loops with
GradientTape.Learning rate scheduling, callbacks, and model checkpoints.
Module 7: TensorBoard & Model Deployment
⏳ 45 minutes
Logging training progress and metrics with TensorBoard.
Saving models and deployment best practices.
Module 8: Final Projects and Capstone Work
⏳ 75 minutes
Real-world image and sequence modeling projects.
Best practices for scaling and refining deep learning workflows.
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Job Outlook
High Demand: TensorFlow developers are in demand across tech and research sectors.
Career Advancement: Equips learners for roles in AI, ML engineering, and data science.
Salary Potential: $110K–$170K+ for deep learning and AI specialists.
Freelance Opportunities: In computer vision, NLP, AI automation, and model optimization.
Specification: Complete Guide to TensorFlow for Deep Learning with Python
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